could you imagine with me for a moment that you’re sitting with somewhere on a
that you’re sitting with somewhere on a
that you’re sitting with somewhere on a Friday afternoon at two-30 your phone
Friday afternoon at two-30 your phone
Friday afternoon at two-30 your phone rings you don’t recognize the number
rings you don’t recognize the number
rings you don’t recognize the number but you answer it and you hear a rather
but you answer it and you hear a rather
but you answer it and you hear a rather cold voice from the phone and the voice
cold voice from the phone and the voice
cold voice from the phone and the voice says hello I’m dr. Smith that breast
says hello I’m dr. Smith that breast
says hello I’m dr. Smith that breast biopsy you had we found a tumor it’s
biopsy you had we found a tumor it’s
biopsy you had we found a tumor it’s cancer your mind goes blank your heart
cancer your mind goes blank your heart
cancer your mind goes blank your heart starts to race your fingers go numb you
starts to race your fingers go numb you
starts to race your fingers go numb you think about your daughter
think about your daughter
think about your daughter you think about your husband you think
you think about your husband you think
you think about your husband you think about your life and that phone call you
about your life and that phone call you
about your life and that phone call you manage to make an appointment with that
manage to make an appointment with that
manage to make an appointment with that breast surgeon plus two more three
breast surgeon plus two more three
breast surgeon plus two more three oncologists and three radio radiation
oncologists and three radio radiation
oncologists and three radio radiation oncologists at the end of two weeks this
oncologists at the end of two weeks this
oncologists at the end of two weeks this is what you know your invasive lobular
is what you know your invasive lobular
is what you know your invasive lobular breast cancer could be four millimeters
breast cancer could be four millimeters
breast cancer could be four millimeters in size it could be eight millimeters
in size it could be eight millimeters
in size it could be eight millimeters meters in size it could be 2.5
meters in size it could be 2.5
meters in size it could be 2.5 centimeters in size when breast surgeon
centimeters in size when breast surgeon
centimeters in size when breast surgeon says in the secta me 1 breast surgeon
says in the secta me 1 breast surgeon
says in the secta me 1 breast surgeon says a lumpectomy one oncologist says
says a lumpectomy one oncologist says
says a lumpectomy one oncologist says you will have chemotherapy and other
you will have chemotherapy and other
you will have chemotherapy and other says you won’t one rat honk says you’ll
says you won’t one rat honk says you’ll
says you won’t one rat honk says you’ll have 29 days of radiation but the second
have 29 days of radiation but the second
have 29 days of radiation but the second one says eight weeks and the third one
one says eight weeks and the third one
one says eight weeks and the third one says you don’t need radiation at all
says you don’t need radiation at all
says you don’t need radiation at all I’ve got a clinical trial and at the end
I’ve got a clinical trial and at the end
I’ve got a clinical trial and at the end of this there are three hormonal drugs
of this there are three hormonal drugs
of this there are three hormonal drugs you can go on really really is this the
you can go on really really is this the
you can go on really really is this the best we have isn’t one of these
best we have isn’t one of these
best we have isn’t one of these treatments better than the other which
treatments better than the other which
treatments better than the other which one is going to work best for me what
one is going to work best for me what
one is going to work best for me what about patients like me
about patients like me
about patients like me worked for them unfortunately this is
worked for them unfortunately this is
worked for them unfortunately this is the reality of cancer diagnosis and
the reality of cancer diagnosis and
the reality of cancer diagnosis and treatment today you see some cancers are
treatment today you see some cancers are
treatment today you see some cancers are difficult to see in our medical images
difficult to see in our medical images
difficult to see in our medical images some pathologies are hard to read the
some pathologies are hard to read the
some pathologies are hard to read the elect Everage electronic health record
elect Everage electronic health record
elect Everage electronic health record is the size of a Harry Potter book
is the size of a Harry Potter book
is the size of a Harry Potter book eight thousand new research papers are
eight thousand new research papers are
eight thousand new research papers are being being written every day and some
being being written every day and some
being being written every day and some say that if our oncologists need to read
say that if our oncologists need to read
say that if our oncologists need to read everything that they needed to read
everything that they needed to read
everything that they needed to read they’d be reading 20 hours a day but
they’d be reading 20 hours a day but
they’d be reading 20 hours a day but Watson is a cognitive computer and
Watson is a cognitive computer and
Watson is a cognitive computer and Watson can help you see Watson reads and
Watson can help you see Watson reads and
Watson can help you see Watson reads and he reads fast so he can read my
he reads fast so he can read my
he reads fast so he can read my electronic health record both the
electronic health record both the
electronic health record both the structured in the unstructured text in
structured in the unstructured text in
structured in the unstructured text in the structured text he’ll find my name
the structured text he’ll find my name
the structured text he’ll find my name my Democratic my demographics my
my Democratic my demographics my
my Democratic my demographics my clinical information but in the
clinical information but in the
clinical information but in the unstructured text he may find
unstructured text he may find
unstructured text he may find information in a doctor’s note that
information in a doctor’s note that
information in a doctor’s note that could help in my diagnosis it could be
could help in my diagnosis it could be
could help in my diagnosis it could be that my parents were smokers or that I
that my parents were smokers or that I
that my parents were smokers or that I took birth control pills in my 20s and
took birth control pills in my 20s and
took birth control pills in my 20s and Watson reads images we’ve trained Watson
Watson reads images we’ve trained Watson
Watson reads images we’ve trained Watson to read the tens of thousands of images
to read the tens of thousands of images
to read the tens of thousands of images we’re teaching Watson to read what
we’re teaching Watson to read what
we’re teaching Watson to read what humans cannot see cognitive compute
humans cannot see cognitive compute
humans cannot see cognitive compute computing Watson reads he learns from
computing Watson reads he learns from
computing Watson reads he learns from what he reads he never forgets what he
what he reads he never forgets what he
what he reads he never forgets what he reads he doesn’t get tired and after he
reads he doesn’t get tired and after he
reads he doesn’t get tired and after he learns from what he reads he makes a
learns from what he reads he makes a
learns from what he reads he makes a probable recommendation of what could
probable recommendation of what could
probable recommendation of what could happen in the case of cancer he helps
happen in the case of cancer he helps
happen in the case of cancer he helps your physician understand what your
your physician understand what your
your physician understand what your diagnosis is and what the treatment can
diagnosis is and what the treatment can
diagnosis is and what the treatment can be Watson has read millions of research
be Watson has read millions of research
be Watson has read millions of research papers he’s read three hundred medical
papers he’s read three hundred medical
papers he’s read three hundred medical journals 200 medical textbooks
journals 200 medical textbooks
journals 200 medical textbooks we’ve trained him on tens of millions of
we’ve trained him on tens of millions of
we’ve trained him on tens of millions of de-identified patient records and the
de-identified patient records and the
de-identified patient records and the best oncologist in the world have
best oncologist in the world have
best oncologist in the world have trained Watson we’re making it so
trained Watson we’re making it so
trained Watson we’re making it so whether you’re in Boston or whether
whether you’re in Boston or whether
whether you’re in Boston or whether you’re in New York City or whether
you’re in New York City or whether
you’re in New York City or whether you’re in rural Montana or China you can
you’re in rural Montana or China you can
you’re in rural Montana or China you can get
get
get the same advice on your cancer diagnosis
the same advice on your cancer diagnosis
the same advice on your cancer diagnosis and your treatment and we can go further
and your treatment and we can go further
and your treatment and we can go further with Watson for genomics if your cancer
with Watson for genomics if your cancer
with Watson for genomics if your cancer is advanced or a corner case we can read
is advanced or a corner case we can read
is advanced or a corner case we can read in the genetic profile of your cancer
in the genetic profile of your cancer
in the genetic profile of your cancer and Watson can match match it with a
and Watson can match match it with a
and Watson can match match it with a drug at University of North Carolina
drug at University of North Carolina
drug at University of North Carolina we trained Watson for genomics
we trained Watson for genomics
we trained Watson for genomics retrospectively on 1,000 patients and we
retrospectively on 1,000 patients and we
retrospectively on 1,000 patients and we found in those 1,000 patients Watson
found in those 1,000 patients Watson
found in those 1,000 patients Watson agreed with the oncologist 99 percent of
agreed with the oncologist 99 percent of
agreed with the oncologist 99 percent of the time you’re very happy Watson had
the time you’re very happy Watson had
the time you’re very happy Watson had learned but in 1 percent of the time
learned but in 1 percent of the time
learned but in 1 percent of the time which turned out to be 300 patients
which turned out to be 300 patients
which turned out to be 300 patients Watson recommended a different
Watson recommended a different
Watson recommended a different medication was Watson right
medication was Watson right
medication was Watson right turns out Watson was right Watson found
turns out Watson was right Watson found
turns out Watson was right Watson found medications that came out in 2013 2014
medications that came out in 2013 2014
medications that came out in 2013 2014 in 2015 that could help these patients
in 2015 that could help these patients
in 2015 that could help these patients but are overworked oncologists simply
but are overworked oncologists simply
but are overworked oncologists simply hadn’t seen them in an October the
hadn’t seen them in an October the
hadn’t seen them in an October the Japanese Times wrote this there was a
Japanese Times wrote this there was a
Japanese Times wrote this there was a woman who entered University of Tokyo
woman who entered University of Tokyo
woman who entered University of Tokyo she was a 60 year old woman last January
she was a 60 year old woman last January
she was a 60 year old woman last January and she had an advanced form of leukemia
and she had an advanced form of leukemia
and she had an advanced form of leukemia she went on chemotherapy and the
she went on chemotherapy and the
she went on chemotherapy and the chemotherapy worked to attack her cancer
chemotherapy worked to attack her cancer
chemotherapy worked to attack her cancer cells but she wasn’t getting better in
cells but she wasn’t getting better in
cells but she wasn’t getting better in August the researchers decided to read
August the researchers decided to read
August the researchers decided to read her genetic profile into Watson she had
her genetic profile into Watson she had
her genetic profile into Watson she had 1,000 gene mutations what would have
1,000 gene mutations what would have
1,000 gene mutations what would have taken scientists 2 weeks to go through
taken scientists 2 weeks to go through
taken scientists 2 weeks to go through Watson read in 10 minutes and with
Watson read in 10 minutes and with
Watson read in 10 minutes and with cancer time is important Watson found an
cancer time is important Watson found an
cancer time is important Watson found an underlying secondary leukemia that could
underlying secondary leukemia that could
underlying secondary leukemia that could be treated with another drug the
be treated with another drug the
be treated with another drug the Japanese Times reported that treatment
Japanese Times reported that treatment
Japanese Times reported that treatment started in September and she went home
started in September and she went home
started in September and she went home what does all this mean we’re only at
what does all this mean we’re only at
what does all this mean we’re only at the very beginning we have not read in
the very beginning we have not read in
the very beginning we have not read in every cancer we have not read in every
every cancer we have not read in every
every cancer we have not read in every drug but certainly within the next
drug but certainly within the next
drug but certainly within the next decade
decade
decade the next time my cancer is diagnosed
the next time my cancer is diagnosed
the next time my cancer is diagnosed Watson will help my oncologist prescribe
Watson will help my oncologist prescribe
Watson will help my oncologist prescribe a treatment exactly for me not for
a treatment exactly for me not for
a treatment exactly for me not for 10,000 mythical woman’s somehow like me
10,000 mythical woman’s somehow like me
10,000 mythical woman’s somehow like me but a treatment just for me artificial
but a treatment just for me artificial
but a treatment just for me artificial intelligence sure but we call Watson
intelligence sure but we call Watson
intelligence sure but we call Watson augmented intelligence we call Watson
augmented intelligence we call Watson
augmented intelligence we call Watson the learner colleague because what we’re
the learner colleague because what we’re
the learner colleague because what we’re doing is helping these hard-working
doing is helping these hard-working
doing is helping these hard-working physicians diagnose and treat my entire
physicians diagnose and treat my entire
physicians diagnose and treat my entire working career all I’ve wanted to do is
working career all I’ve wanted to do is
working career all I’ve wanted to do is make a difference in the intersection of
make a difference in the intersection of
make a difference in the intersection of healthcare and technology and now me in
healthcare and technology and now me in
healthcare and technology and now me in the extraordinarily talented team at IBM
the extraordinarily talented team at IBM
the extraordinarily talented team at IBM Watson health gets to do just that we
Watson health gets to do just that we
Watson health gets to do just that we save lives and give hope to the world’s
save lives and give hope to the world’s
save lives and give hope to the world’s most pressing health care challenges
most pressing health care challenges
most pressing health care challenges through the power of data in cognitive
through the power of data in cognitive
through the power of data in cognitive computing thank you
”
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