Press "Enter" to skip to content

My Ride to the Cloud | Ernest Garcia | TEDxEmory


thank you are you ready for some magic

thank you are you ready for some magic some technology magic that’s what I’m

some technology magic that’s what I’m

some technology magic that’s what I’m here for

here for

here for we’re gonna talk about my story of how

we’re gonna talk about my story of how

we’re gonna talk about my story of how I’ve used technology and a bit of magic

I’ve used technology and a bit of magic

I’ve used technology and a bit of magic to realize the vision in my career this

to realize the vision in my career this

to realize the vision in my career this is my right to the cloud so the right is

is my right to the cloud so the right is

is my right to the cloud so the right is really more like surfing like writing

really more like surfing like writing

really more like surfing like writing very large technology waves in my case

very large technology waves in my case

very large technology waves in my case to developed medical applications

to developed medical applications

to developed medical applications software you too can write these waves

software you too can write these waves

software you too can write these waves taking you very fast but also they’re

taking you very fast but also they’re

taking you very fast but also they’re very the quality variety of technology

very the quality variety of technology

very the quality variety of technology that you can use even today to fulfill

that you can use even today to fulfill

that you can use even today to fulfill your overcome any challenges

your overcome any challenges

your overcome any challenges particularly technologies challenges in

particularly technologies challenges in

particularly technologies challenges in your career so if you already get on the

your career so if you already get on the

your career so if you already get on the board and see what the wave takes us so

board and see what the wave takes us so

board and see what the wave takes us so my story starts back in 1969 when I was

my story starts back in 1969 when I was

my story starts back in 1969 when I was fortunate to get a job with a power

fortunate to get a job with a power

fortunate to get a job with a power company where they actually taught me

company where they actually taught me

company where they actually taught me computers and programming back in 69

computers and programming back in 69

computers and programming back in 69 this were not subjects that were being

this were not subjects that were being

this were not subjects that were being taught in even in the top universities

taught in even in the top universities

taught in even in the top universities back then computers like this were

back then computers like this were

back then computers like this were called mainframe there were over a

called mainframe there were over a

called mainframe there were over a million dollars each and you be amazed

million dollars each and you be amazed

million dollars each and you be amazed to understand that the smartphone’s that

to understand that the smartphone’s that

to understand that the smartphone’s that you have with you today

you have with you today

you have with you today have faster processing and more storage

have faster processing and more storage

have faster processing and more storage than this mainframe computer so we’ve

than this mainframe computer so we’ve

than this mainframe computer so we’ve come a long way in 30 years and as part

come a long way in 30 years and as part

come a long way in 30 years and as part of the theme they’re only how fast

of the theme they’re only how fast

of the theme they’re only how fast technology moves but what you can do

technology moves but what you can do

technology moves but what you can do with it by 1971 many computers came on

with it by 1971 many computers came on

with it by 1971 many computers came on the scene and the smaller now you can

the scene and the smaller now you can

the scene and the smaller now you can fit them in a closet and less expensive

fit them in a closet and less expensive

fit them in a closet and less expensive a hundred thousand rather than a million

a hundred thousand rather than a million

a hundred thousand rather than a million dollars but

dollars but

dollars but still incredibly limited again consider

still incredibly limited again consider

still incredibly limited again consider that the entire memory of these devices

that the entire memory of these devices

that the entire memory of these devices both in to put applications and data is

both in to put applications and data is

both in to put applications and data is less or was less than five megabytes

less or was less than five megabytes

less or was less than five megabytes that is about the attachment of an email

that is about the attachment of an email

that is about the attachment of an email today so it was challenging to program

today so it was challenging to program

today so it was challenging to program them but because I’ve had the training I

them but because I’ve had the training I

them but because I’ve had the training I was able to do that and it actually is a

was able to do that and it actually is a

was able to do that and it actually is a transition for me because they were

transition for me because they were

transition for me because they were being introduced in the medical imaging

being introduced in the medical imaging

being introduced in the medical imaging field so I went into that and

field so I went into that and

field so I went into that and specifically in nuclear cardiology now

specifically in nuclear cardiology now

specifically in nuclear cardiology now as I started working with physicians I

as I started working with physicians I

as I started working with physicians I noticed how proud aware of their art of

noticed how proud aware of their art of

noticed how proud aware of their art of image interpretation to reach a

image interpretation to reach a

image interpretation to reach a diagnosis yet I recognize that I will

diagnosis yet I recognize that I will

diagnosis yet I recognize that I will give the experts the same images to

give the experts the same images to

give the experts the same images to different experts would often come with

different experts would often come with

different experts would often come with very different conclusions and that one

very different conclusions and that one

very different conclusions and that one observation became the vision for my

observation became the vision for my

observation became the vision for my career and that is to use technology to

career and that is to use technology to

career and that is to use technology to transform the art of image

transform the art of image

transform the art of image interpretation to the science of image

interpretation to the science of image

interpretation to the science of image interpretation and everything else I’ll

interpretation and everything else I’ll

interpretation and everything else I’ll tell you will be related to that so also

tell you will be related to that so also

tell you will be related to that so also consider that in 1983 no one was paying

consider that in 1983 no one was paying

consider that in 1983 no one was paying for software so you had $100,000 system

for software so you had $100,000 system

for software so you had $100,000 system for the hardware they would throw in

for the hardware they would throw in

for the hardware they would throw in whatever software was just necessary but

whatever software was just necessary but

whatever software was just necessary but because no one wanted to pay for the

because no one wanted to pay for the

because no one wanted to pay for the software it was limiting our clinical

software it was limiting our clinical

software it was limiting our clinical medical applications so you can see in

medical applications so you can see in

medical applications so you can see in this tutorial that I wrote back in 83

this tutorial that I wrote back in 83

this tutorial that I wrote back in 83 and appealed to the community to start

and appealed to the community to start

and appealed to the community to start paying for software but now you have the

paying for software but now you have the

paying for software but now you have the medical experts that are still reluctant

medical experts that are still reluctant

medical experts that are still reluctant to change from art to science and you

to change from art to science and you

to change from art to science and you have the fact that they were already

have the fact that they were already

have the fact that they were already paying $100,000 for devices now we’re

paying $100,000 for devices now we’re

paying $100,000 for devices now we’re asking them to pay for something else so

asking them to pay for something else so

asking them to pay for something else so you can imagine this was part of the

you can imagine this was part of the

you can imagine this was part of the challenges the challenge is not only

challenges the challenge is not only

challenges the challenge is not only technologic

technologic

technologic but it’s also financial so the only way

but it’s also financial so the only way

but it’s also financial so the only way or the best way to convince physicians

or the best way to convince physicians

or the best way to convince physicians to use the technology is to prove to

to use the technology is to prove to

to use the technology is to prove to them how it helps their patients so let

them how it helps their patients so let

them how it helps their patients so let me go a little more specifically into my

me go a little more specifically into my

me go a little more specifically into my field of nucleic re ology so that you

field of nucleic re ology so that you

field of nucleic re ology so that you understand the rest of the presentation

understand the rest of the presentation

understand the rest of the presentation in in what we do in our field we inject

in in what we do in our field we inject

in in what we do in our field we inject radioactive chemicals that go

radioactive chemicals that go

radioactive chemicals that go specifically to the muscle of the

specifically to the muscle of the

specifically to the muscle of the myocardium the muscle of the heart which

myocardium the muscle of the heart which

myocardium the muscle of the heart which pumps the blood to the rest of the body

pumps the blood to the rest of the body

pumps the blood to the rest of the body and in this in the top panel what I’m

and in this in the top panel what I’m

and in this in the top panel what I’m showing you there is cutting through

showing you there is cutting through

showing you there is cutting through slices that look like donors for the

slices that look like donors for the

slices that look like donors for the cavity that pumps the blood and you can

cavity that pumps the blood and you can

cavity that pumps the blood and you can see that the colors are white or yellow

see that the colors are white or yellow

see that the colors are white or yellow consistent with high blood flow so this

consistent with high blood flow so this

consistent with high blood flow so this is a normal patient and when you stack

is a normal patient and when you stack

is a normal patient and when you stack the slices from tip of the heart to the

the slices from tip of the heart to the

the slices from tip of the heart to the base and we plotted them in a polar map

base and we plotted them in a polar map

base and we plotted them in a polar map this became our representation of what

this became our representation of what

this became our representation of what the heart looks like a quantitative

the heart looks like a quantitative

the heart looks like a quantitative resent ation that could acts

resent ation that could acts

resent ation that could acts artistically compare as I’ll show you in

artistically compare as I’ll show you in

artistically compare as I’ll show you in a minute

a minute

a minute now why such a simple thing for such a

now why such a simple thing for such a

now why such a simple thing for such a difficult subject because in 1983

difficult subject because in 1983

difficult subject because in 1983 computers were very slow and the

computers were very slow and the

computers were very slow and the software didn’t really exist for example

software didn’t really exist for example

software didn’t really exist for example for three-dimensional rendering so

for three-dimensional rendering so

for three-dimensional rendering so consider this other patient where again

consider this other patient where again

consider this other patient where again we’re looking at the polar maps the top

we’re looking at the polar maps the top

we’re looking at the polar maps the top left is during exercise and you can see

left is during exercise and you can see

left is during exercise and you can see thou no longer do the spoiler maps look

thou no longer do the spoiler maps look

thou no longer do the spoiler maps look uniformly yellowed but around 12 o’clock

uniformly yellowed but around 12 o’clock

uniformly yellowed but around 12 o’clock it looks like it’s blue which is

it looks like it’s blue which is

it looks like it’s blue which is reducing blood flow and at that same

reducing blood flow and at that same

reducing blood flow and at that same patient address improves so first of all

patient address improves so first of all

patient address improves so first of all the physician has an easy representation

the physician has an easy representation

the physician has an easy representation of the of the heart but also we could

of the of the heart but also we could

of the of the heart but also we could compare these statistically to databases

compare these statistically to databases

compare these statistically to databases that we had in our lab and we can hide

that we had in our lab and we can hide

that we had in our lab and we can hide we could highlight in black you see in

we could highlight in black you see in

we could highlight in black you see in the bottom left panel

the bottom left panel

the bottom left panel the regions that were significantly

the regions that were significantly

the regions that were significantly reducing blood flow during exercise and

reducing blood flow during exercise and

reducing blood flow during exercise and in white we will highlight the regions

in white we will highlight the regions

in white we will highlight the regions that’s significantly improved during

that’s significantly improved during

that’s significantly improved during rest now again it appears to be quite a

rest now again it appears to be quite a

rest now again it appears to be quite a simple concept it doesn’t seem to be

simple concept it doesn’t seem to be

simple concept it doesn’t seem to be much magic so far but if I can just skip

much magic so far but if I can just skip

much magic so far but if I can just skip to today just for a second

to today just for a second

to today just for a second realize that this program there’s over

realize that this program there’s over

realize that this program there’s over 35,000 licenses of it all over the world

35,000 licenses of it all over the world

35,000 licenses of it all over the world and that over 4 million patients are

and that over 4 million patients are

and that over 4 million patients are analyzed every year with this software

analyzed every year with this software

analyzed every year with this software so of course it’s a little more

so of course it’s a little more

so of course it’s a little more complicated that when I showed you but

complicated that when I showed you but

complicated that when I showed you but in fact this ideas can help a lot of

in fact this ideas can help a lot of

in fact this ideas can help a lot of patients in a in a short time now by the

patients in a in a short time now by the

patients in a in a short time now by the year 2000 computers have gotten faster

year 2000 computers have gotten faster

year 2000 computers have gotten faster there was a lot more software so what

there was a lot more software so what

there was a lot more software so what you’re seeing here is where we fuse our

you’re seeing here is where we fuse our

you’re seeing here is where we fuse our technology with other imaging modalities

technology with other imaging modalities

technology with other imaging modalities and now we can render in three

and now we can render in three

and now we can render in three dimensions and of course it looks a lot

dimensions and of course it looks a lot

dimensions and of course it looks a lot more realistic than than the polar maps

more realistic than than the polar maps

more realistic than than the polar maps that we show you before even though the

that we show you before even though the

that we show you before even though the physicians believe it or not they still

physicians believe it or not they still

physicians believe it or not they still prefer the polar maps because they were

prefer the polar maps because they were

prefer the polar maps because they were trained that way

trained that way

trained that way now during those years that’s when the

now during those years that’s when the

now during those years that’s when the personal computers came into the scene

personal computers came into the scene

personal computers came into the scene now

now

now think about it we went from a million

think about it we went from a million

think about it we went from a million dollar computer to a hundred thousand

dollar computer to a hundred thousand

dollar computer to a hundred thousand dollar computer to a thousand dollar

dollar computer to a thousand dollar

dollar computer to a thousand dollar computer and this comes out and our

computer and this comes out and our

computer and this comes out and our computer is tremendously more powerful

computer is tremendously more powerful

computer is tremendously more powerful than either of the other two with a lot

than either of the other two with a lot

than either of the other two with a lot more software storage and and

more software storage and and

more software storage and and performance this is why one of the

performance this is why one of the

performance this is why one of the things that we did spin off a company so

things that we did spin off a company so

things that we did spin off a company so that we could take advantage of this and

that we could take advantage of this and

that we could take advantage of this and offer it to end-users for a lot less

offer it to end-users for a lot less

offer it to end-users for a lot less cost now it was also about this time

cost now it was also about this time

cost now it was also about this time that we started experimenting with

that we started experimenting with

that we started experimenting with artificial intelligence as you know this

artificial intelligence as you know this

artificial intelligence as you know this is the technology where the computer

is the technology where the computer

is the technology where the computer tries to emulate how humans make

tries to emulate how humans make

tries to emulate how humans make decisions so in this approach that you

decisions so in this approach that you

decisions so in this approach that you see

see

see here is is called neural networks where

here is is called neural networks where

here is is called neural networks where we try to do here is cluster simulate

we try to do here is cluster simulate

we try to do here is cluster simulate how we can cluster neurons in the brain

how we can cluster neurons in the brain

how we can cluster neurons in the brain to make a decision and the way we train

to make a decision and the way we train

to make a decision and the way we train the computer to learn how to make these

the computer to learn how to make these

the computer to learn how to make these interpretations was to offer it as input

interpretations was to offer it as input

interpretations was to offer it as input or imaging data in terms of the blood

or imaging data in terms of the blood

or imaging data in terms of the blood flow to the heart and clinical data and

flow to the heart and clinical data and

flow to the heart and clinical data and the output would be the known Danone

the output would be the known Danone

the output would be the known Danone interpretation or the non diagnosis of

interpretation or the non diagnosis of

interpretation or the non diagnosis of the patient and you will offer many many

the patient and you will offer many many

the patient and you will offer many many thousands of studies for the computer to

thousands of studies for the computer to

thousands of studies for the computer to learn how to do it now the technique we

learn how to do it now the technique we

learn how to do it now the technique we ended up using is the one and that is

ended up using is the one and that is

ended up using is the one and that is using certainty in decision support

using certainty in decision support

using certainty in decision support think of certainty as a probability if

think of certainty as a probability if

think of certainty as a probability if you have a lot of data just like before

you have a lot of data just like before

you have a lot of data just like before but if you don’t have a lot of data it

but if you don’t have a lot of data it

but if you don’t have a lot of data it can be just an expert opinion so these

can be just an expert opinion so these

can be just an expert opinion so these systems are built up in terms of rules

systems are built up in terms of rules

systems are built up in terms of rules from experts and as patient information

from experts and as patient information

from experts and as patient information comes in for a specific patient it

comes in for a specific patient it

comes in for a specific patient it either is used as positive or negative

either is used as positive or negative

either is used as positive or negative evidence that that the patient if it’s

evidence that that the patient if it’s

evidence that that the patient if it’s positive evidences that the patient is

positive evidences that the patient is

positive evidences that the patient is abnormal if it’s negative evidence is

abnormal if it’s negative evidence is

abnormal if it’s negative evidence is that the patient is normal and as all

that the patient is normal and as all

that the patient is normal and as all the input and all the evidence comes in

the input and all the evidence comes in

the input and all the evidence comes in wherever you end up at that certainty

wherever you end up at that certainty

wherever you end up at that certainty becomes the final diagnosis appreciate

becomes the final diagnosis appreciate

becomes the final diagnosis appreciate that this is all using the English

that this is all using the English

that this is all using the English language and both the rules are written

language and both the rules are written

language and both the rules are written in English and the justification the

in English and the justification the

in English and the justification the tracking of how we reach that conclusion

tracking of how we reach that conclusion

tracking of how we reach that conclusion is also written in English which brings

is also written in English which brings

is also written in English which brings us to the next huge technology wave that

us to the next huge technology wave that

us to the next huge technology wave that all of you are experiencing and that the

all of you are experiencing and that the

all of you are experiencing and that the area of natural language processing or

area of natural language processing or

area of natural language processing or computerized language understanding and

computerized language understanding and

computerized language understanding and because not only am i communicating with

because not only am i communicating with

because not only am i communicating with you in natural languages but us

you in natural languages but us

you in natural languages but us communicate with computers in natural

communicate with computers in natural

communicate with computers in natural language either from the different

language either from the different

language either from the different search engines to search something that

search engines to search something that

search engines to search something that we want or

we want or

we want or the virtual assistant to get something

the virtual assistant to get something

the virtual assistant to get something that that we need the air this area

that that we need the air this area

that that we need the air this area imagined in the last 10 years the

imagined in the last 10 years the

imagined in the last 10 years the progress has been phenomenal now how can

progress has been phenomenal now how can

progress has been phenomenal now how can we use this how can we combine this with

we use this how can we combine this with

we use this how can we combine this with what with previous did with the

what with previous did with the

what with previous did with the artificial intelligence systems to

artificial intelligence systems to

artificial intelligence systems to generate clinical reports how can we put

generate clinical reports how can we put

generate clinical reports how can we put them together and this is where the

them together and this is where the

them together and this is where the magic comes in and the magic is we call

magic comes in and the magic is we call

magic comes in and the magic is we call Merlin and and why did we did Merlin

Merlin and and why did we did Merlin

Merlin and and why did we did Merlin appreciate that once we send the systems

appreciate that once we send the systems

appreciate that once we send the systems out the system stops learning so this is

out the system stops learning so this is

out the system stops learning so this is just like a physician that graduated and

just like a physician that graduated and

just like a physician that graduated and never heard another article never went

never heard another article never went

never heard another article never went to a meeting so it doesn’t stops doesn’t

to a meeting so it doesn’t stops doesn’t

to a meeting so it doesn’t stops doesn’t know on any of the new things

know on any of the new things

know on any of the new things so in Merlin Berlin we program that so

so in Merlin Berlin we program that so

so in Merlin Berlin we program that so that it would read clinical research

that it would read clinical research

that it would read clinical research articles in our domain it would extract

articles in our domain it would extract

articles in our domain it would extract the knowledge any new knowledge that if

the knowledge any new knowledge that if

the knowledge any new knowledge that if thought I found it would then test that

thought I found it would then test that

thought I found it would then test that knowledge against large databases in our

knowledge against large databases in our

knowledge against large databases in our systems and if the knowledge is the new

systems and if the knowledge is the new

systems and if the knowledge is the new knowledge increase the accuracy of the

knowledge increase the accuracy of the

knowledge increase the accuracy of the diagnosis it incorporated our knowledge

diagnosis it incorporated our knowledge

diagnosis it incorporated our knowledge into the into this expert systems so

into the into this expert systems so

into the into this expert systems so it’s quite a bit of progress in terms of

it’s quite a bit of progress in terms of

it’s quite a bit of progress in terms of using natural language processing in our

using natural language processing in our

using natural language processing in our field now to implement so think about it

field now to implement so think about it

field now to implement so think about it Merlin could do this every night right

Merlin could do this every night right

Merlin could do this every night right by the time you wake up in the morning

by the time you wake up in the morning

by the time you wake up in the morning you have new data you have better

you have new data you have better

you have new data you have better diagnosis you have new rules in red all

diagnosis you have new rules in red all

diagnosis you have new rules in red all the scientific articles for you to

the scientific articles for you to

the scientific articles for you to implement programs like Merlin and to

implement programs like Merlin and to

implement programs like Merlin and to continue the progress in our particular

continue the progress in our particular

continue the progress in our particular clinical application another huge

clinical application another huge

clinical application another huge technology wave has been the increasing

technology wave has been the increasing

technology wave has been the increasing the speed of the Internet and appreciate

the speed of the Internet and appreciate

the speed of the Internet and appreciate that the scale here is an exponential

that the scale here is an exponential

that the scale here is an exponential scale so in the last 20 years the speed

scale so in the last 20 years the speed

scale so in the last 20 years the speed of the Internet

of the Internet

of the Internet it’s been improving at the rate of 50%

it’s been improving at the rate of 50%

it’s been improving at the rate of 50% per year again because all of us are

per year again because all of us are

per year again because all of us are using it and it makes the right business

using it and it makes the right business

using it and it makes the right business model so why don’t s facilitate it

model so why don’t s facilitate it

model so why don’t s facilitate it facilitates cloud computing and this is

facilitates cloud computing and this is

facilitates cloud computing and this is my my right to the cloud this is one of

my my right to the cloud this is one of

my my right to the cloud this is one of the clouds that I was talking about and

the clouds that I was talking about and

the clouds that I was talking about and as you know you use the cloud and you

as you know you use the cloud and you

as you know you use the cloud and you think of it as a storage place in that

think of it as a storage place in that

think of it as a storage place in that you can don’t only you can store but

you can don’t only you can store but

you can don’t only you can store but retrieve movies and photos and songs and

retrieve movies and photos and songs and

retrieve movies and photos and songs and things like that we do the same thing

things like that we do the same thing

things like that we do the same thing but we also store we upload into the

but we also store we upload into the

but we also store we upload into the cloud all of the patient imaging data

cloud all of the patient imaging data

cloud all of the patient imaging data but for us the cloud is more than just a

but for us the cloud is more than just a

but for us the cloud is more than just a place for storage it is a place most

place for storage it is a place most

place for storage it is a place most clouds usually have hundreds of

clouds usually have hundreds of

clouds usually have hundreds of computers and servers attached to it

computers and servers attached to it

computers and servers attached to it which means that this little laptop in

which means that this little laptop in

which means that this little laptop in the bottom right can access the all

the bottom right can access the all

the bottom right can access the all those computers and and can have

those computers and and can have

those computers and and can have billions of operations per second so now

billions of operations per second so now

billions of operations per second so now we’ve been able to also load this

we’ve been able to also load this

we’ve been able to also load this program in the cloud and have it process

program in the cloud and have it process

program in the cloud and have it process read the data that’s already in the

read the data that’s already in the

read the data that’s already in the cloud the program in the cloud and when

cloud the program in the cloud and when

cloud the program in the cloud and when you’re in the laptop it appears to you

you’re in the laptop it appears to you

you’re in the laptop it appears to you as everything is happening locally but

as everything is happening locally but

as everything is happening locally but it’s actually happening remotely now

it’s actually happening remotely now

it’s actually happening remotely now this strategy also soluz to use a huge

this strategy also soluz to use a huge

this strategy also soluz to use a huge amount of imaging data because the the

amount of imaging data because the the

amount of imaging data because the the institutions that have this service are

institutions that have this service are

institutions that have this service are loading up all their images to the cloud

loading up all their images to the cloud

loading up all their images to the cloud so now we have hundreds of thousands of

so now we have hundreds of thousands of

so now we have hundreds of thousands of studies that we can use to train our

studies that we can use to train our

studies that we can use to train our official intelligence system and even to

official intelligence system and even to

official intelligence system and even to look at trends in the field so this

look at trends in the field so this

look at trends in the field so this brings us to the fourth version of our

brings us to the fourth version of our

brings us to the fourth version of our program which we call the amore cardiac

program which we call the amore cardiac

program which we call the amore cardiac toolbox and which is cloud compatible

toolbox and which is cloud compatible

toolbox and which is cloud compatible and as I mentioned it has the the

and as I mentioned it has the the

and as I mentioned it has the the functions of artificial intelligence for

functions of artificial intelligence for

functions of artificial intelligence for reporting has cloud storage retrieval

reporting has cloud storage retrieval

reporting has cloud storage retrieval and it can be processing and this can be

and it can be processing and this can be

and it can be processing and this can be done anywhere in the world so in fact a

done anywhere in the world so in fact a

done anywhere in the world so in fact a physician can’t read the studies

physician can’t read the studies

physician can’t read the studies in a different country or so they were

in a different country or so they were

in a different country or so they were sitting at their office now there’s a

sitting at their office now there’s a

sitting at their office now there’s a part of this story that I’ve skipped and

part of this story that I’ve skipped and

part of this story that I’ve skipped and it’s an important part because success

it’s an important part because success

it’s an important part because success or failure comes at a cost and for me

or failure comes at a cost and for me

or failure comes at a cost and for me that cost was that in 2008 I had a chest

that cost was that in 2008 I had a chest

that cost was that in 2008 I had a chest pain event which was initially

pain event which was initially

pain event which was initially considered to being significant but when

considered to being significant but when

considered to being significant but when I was submitted to our modality and

I was submitted to our modality and

I was submitted to our modality and process with our program

process with our program

process with our program you can see in the bottom right in

you can see in the bottom right in

you can see in the bottom right in yellow it shows that 26 percent of the

yellow it shows that 26 percent of the

yellow it shows that 26 percent of the blood flow to my heart had been reduced

blood flow to my heart had been reduced

blood flow to my heart had been reduced at stress and address had improved

at stress and address had improved

at stress and address had improved significantly but only 7 percent her

significantly but only 7 percent her

significantly but only 7 percent her return meaning that I lost about 7

return meaning that I lost about 7

return meaning that I lost about 7 percent of the muscle of my heart to a

percent of the muscle of my heart to a

percent of the muscle of my heart to a heart attack this could have been a

heart attack this could have been a

heart attack this could have been a one-way ticket to the cloud also but but

one-way ticket to the cloud also but but

one-way ticket to the cloud also but but fortunately my my function was preserved

fortunately my my function was preserved

fortunately my my function was preserved the pumping function of the ventricle

the pumping function of the ventricle

the pumping function of the ventricle that 7 percent did not influence it

that 7 percent did not influence it

that 7 percent did not influence it enough to bother it so this shows a good

enough to bother it so this shows a good

enough to bother it so this shows a good prognosis and when the rft artificial

prognosis and when the rft artificial

prognosis and when the rft artificial intelligence report comes out totally

intelligence report comes out totally

intelligence report comes out totally generated by the computer I won’t be

generated by the computer I won’t be

generated by the computer I won’t be reading everything that he says but the

reading everything that he says but the

reading everything that he says but the final thing is the impression that

final thing is the impression that

final thing is the impression that abnormal high risk study yet I was

abnormal high risk study yet I was

abnormal high risk study yet I was reassured because of the fact that I

reassured because of the fact that I

reassured because of the fact that I knew how the program work how we’d reach

knew how the program work how we’d reach

knew how the program work how we’d reach an objective conclusion that I really

an objective conclusion that I really

an objective conclusion that I really had the disease and I understood the

had the disease and I understood the

had the disease and I understood the treatment that I needed this brings us

treatment that I needed this brings us

treatment that I needed this brings us to the theory of everything that find a

to the theory of everything that find a

to the theory of everything that find a formula that solves all your or your

formula that solves all your or your

formula that solves all your or your questions so think about it when we put

questions so think about it when we put

questions so think about it when we put together cloud storage and retrieving

together cloud storage and retrieving

together cloud storage and retrieving and processing increase internet speed

and processing increase internet speed

and processing increase internet speed Big Data computerized natural language

Big Data computerized natural language

Big Data computerized natural language understanding and artificial

understanding and artificial

understanding and artificial intelligence for decision support not

intelligence for decision support not

intelligence for decision support not only using one of those but putting it

only using one of those but putting it

only using one of those but putting it all together you can pretty much answer

all together you can pretty much answer

all together you can pretty much answer every problem that we have today and

every problem that we have today and

every problem that we have today and many that we’ll have in the future so

many that we’ll have in the future so

many that we’ll have in the future so just to conclude that this also brings

just to conclude that this also brings

just to conclude that this also brings us to the present trend that we’re

us to the present trend that we’re

us to the present trend that we’re having which becomes a future trend and

having which becomes a future trend and

having which becomes a future trend and that is that a very inexpensive device

that is that a very inexpensive device

that is that a very inexpensive device can access everything any service that

can access everything any service that

can access everything any service that it needs everything data that it needs

it needs everything data that it needs

it needs everything data that it needs but that from the business point of view

but that from the business point of view

but that from the business point of view this also implies a training changing

this also implies a training changing

this also implies a training changing from ownership to paying for service

from ownership to paying for service

from ownership to paying for service because now you’re only gonna be paying

because now you’re only gonna be paying

because now you’re only gonna be paying for what you need when you need it but

for what you need when you need it but

for what you need when you need it but you have the latest the latest

you have the latest the latest

you have the latest the latest technology available to you so with that

technology available to you so with that

technology available to you so with that I hope you got something from this the

I hope you got something from this the

I hope you got something from this the stock and we have enjoyed it right

stock and we have enjoyed it right

stock and we have enjoyed it right I hope you enjoy your ride using one or

I hope you enjoy your ride using one or

I hope you enjoy your ride using one or all these kinds of technology thank you

all these kinds of technology thank you

all these kinds of technology thank you [Applause]

”

Be First to Comment

Leave a Reply

Your email address will not be published. Required fields are marked *