1.
Health
Problems
Solution using
AI
ATL lab group Future of India(FOI)

2.
Jens
Martensson
The Problem
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adipiscing elit.
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3.
Jens
Martensson
Health Diagnosis
• Health diagnosis is truly a problem with many
symptoms being common to many diseases.
• Truly AI with its advanced techniques can
solve this
3

4.
Jens
Martensson
• When there is enough data, AI can do a much more accurate job of diagnosis and
treatment than human doctors by absorbing and checking billions of cases and
outcomes. AI can take into account everyone’s data to personalize treatment
accordingly, or keep up with a massive number of new drugs, treatments and studies.
AI vs Human Doctors
4

5.
Jens
Martensson
• The problem is that many diseases have a common symptom so you have to collect
large information in huge database.
• For example AI was used to analyze Covid-19 using huge x-ray databases
True Problem
5

6.
Jens
Martensson
X-Ray
Database
Deep
Learning
AI Based-
Covid-
Diagnosis
Process of curin COVID-19 by AI
6

7.
Jens
Martensson
• Recently, Babylon Health created an application that can help diagnose illnesses by
using chatbot that can communicate with patients. This is a subscription-based
service that uses voice recognition technology to help people find out if their
symptoms are something they need to worry about and, if so, what the illness is. All
a person has to do is open the app and tell the chatbot what is troubling them. For
example, someone can say “I have a headache”. The chatbot would proceed to ask
additional questions until it determines that it has enough information to make a
diagnosis. After that it will tell you what you need to do in the event that your
symptoms are a sign of something serious.
Chatbot
7

8.
Jens
Martensson
• Researchers at Stanford University have developed a very advanced algorithm that
can diagnose skin cancer with pin-point accuracy. In order to train the
system, 130,000 images needed to be annotated which contain all kinds of skin
lesions. This could really make a huge impact since 5.4 million patients are
diagnosed with skin cancer each year and the sooner you can detect it, the higher
the chances of defeating it.
Oncological
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9.
Jens
Martensson
• Interestingly enough, the method of diagnosing pathological diseases has not
changed in more than a century. Just like a hundred years ago, doctors needed to
observe an image under a microscope, the same thing remains true today. Well,
researchers from the Harvard Medical School have created an algorithm that can
detect and diagnose tumors by integrating various speech and image recognition
technology.
• How did these algorithms become so good at diagnosing almost all of the tumors?
Researchers had to annotate various cancerous and noncancerous regions so that
the machine could distinguish between the two. Over time, they were able to achieve
an amazing 92% success rate when compared with a human pathologist, but when
you combine both human and machine results, a 99.5% success rate is achieved.
Pathological
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10.
Thank
You
Jens Martensson
jens@bellowscollege.com