COGNITIVE ARTIFICIAL INTELLIGENCE: IBM WATSON FOR …gbcc.kr/upload/Somashekhar S. P..pdf ·...

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COGNITIVE ARTIFICIAL INTELLIGENCE: IBM WATSON FOR ONCOLOGY Prof.Dr. Somashekhar.S.P. MS, MCh (Oncosurgery), FRCS.Ed Chairman Oncology MHEPL Head Of Department - Department of Surgical Oncology Manipal Comprehensive Cancer Centre, Manipal Hospital, Bangalore [email protected]

Transcript of COGNITIVE ARTIFICIAL INTELLIGENCE: IBM WATSON FOR …gbcc.kr/upload/Somashekhar S. P..pdf ·...

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COGNITIVE ARTIFICIAL INTELLIGENCE: IBM WATSON FOR ONCOLOGY

Prof.Dr. Somashekhar.S.P.MS, MCh (Oncosurgery), FRCS.Ed

Chairman Oncology MHEPL

Head Of Department - Department of Surgical Oncology

Manipal Comprehensive Cancer Centre, Manipal Hospital, Bangalore

[email protected]

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• ú

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Smart Hospital

• Triad of Technology and New evidence based access, Early adaption

• And Integration and making most Patient Friendly Hospital

• And giving world class health care

Intelligent hospital is one that works better and smarter. It’s better because it’s resourceful, creative, and perceptive about what patients

and doctors need and it’s smarter because it’s astute and inventive when it comes to weaving together diverse technologies to enhance

patient care.

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AI was coined by John McCarthy, an American computer scientist, in 1956

at The Dartmouth Conference where the discipline was born.

However, there exists No standard universally accepted definition AI

Numerous definitions generally grouped into 4 system categories

• After describing “Systems that Think Like Humans—based on modeling cognitive functions of reasoning, inference and learning

Background

Turing Test (http://theconversation.com/person-or-computer-could-you-pass-the-turing-test-6769)

• One of Turing’s many signal contributions was a 1950 article that defined what is now known as the Turing Test.

• In it, he proposed a test in which a human “converses” with two entities — one human and one computer program — over a text-only channel (i.e., a computer keyboard/screen), and then attempts to determine which is the human and which is the computer.

• If after, say, five minutes of testing, the majority of human interrogators are unable to determine which is which, Turing said that we could claim the computer system has achieved a certain level of intelligence.

• Deep BlueAt the heart of Deep Blue's ability to play chess is its evaluation function. The evaluation function is an algorithm that measures the "goodness" of a given chess position. Positions with positive values are good for White, and conversely, positions with negative values are good for Black. If the overall score is negative, for example, this means that Black has the advantage. Deep Blue's evaluation function looks at four basic chess values: material, position, King safety and tempo. Material is based on the "worth" of particular chess pieces.https://www.research.ibm.com/deepblue/meet/html/d.3.2.html

Term AI origin:

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Breast cancer and Oncologist

• As of Oct 2017 there are 67 approved new drugs to treat Breast cancernot including combination treatment regimens

• The growth of massive Genetic and clinical database leaves little time for accessing relevant information at point of care

A study that surveyed 1117 Oncologists, reported an average of 4.6 hours per week were spent to update and keep abreast of recent trials and drugs

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CDS Global Market Forecast P&S Market Research

https://www.psmarketresearch.com/market-analysis/clinical-decision-support-system-market

≅3,619 (↑11X)

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Adoption, Use, Value Factors

• Content: e.g. relevant, complete, current

• Information provided: e.g. valid, reliable, references accessible

• Usability: e.g. comprehensible, simple, efficient, easy to use

• Workflow integration

• EHR integration

• CDS-related Patient Safety

.

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Selected AI CDS Evaluation Criteria

Structured & Unstructured

Clinical Guidelines

System automates data identification, abstraction, input

Adoption, Use and Value Factors:

A CDS system must provide scientific proof, that it meets these key performance requirements with rigorous evaluation in the design, development, implementation and maintenanceof the CDS.

CDS are interactive computer applications that are designed to assist clinicians and other providers of care to make decisions.

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Supporting Evidence

1

2

4

Search a corpus of evidence

data to find supporting

evidence for each option

3

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Medical journal concept annotations

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recommended

For consideration

Not recommended

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MDA Levels of Evidence Definition

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Can compare two treatment options with evidence

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INFORMATION ABOUT DRUG ADMINISTRATION

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DRUG INFORMATION

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SELECT TREATMENT OPTIONS AND SAVE OR PRINT

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TREATMENT PLAN THAT CAN BE SHARED WITH THE PATIENT

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Doctors appointment list active

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Prof.Dr. Somashekhar.S.P.MS, MCh (Oncosurgery), FRCS.Ed

Chairman Oncology Manipal Health Enterprise MHEPL

Head Of Department

Department of Surgical & Gynec. Oncology , Robotics & HIPEC

Manipal Comprehensive Cancer Centre

Manipal Hospital, Bangalore, India

Double-blind Concordance Study of Breast Cancer TreatmentRecommendations Between Manipal Multidisciplinary

Tumor Board and an Artificial Intelligence Advisor for OncologyIBM’s Watson For Oncology

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Evaluate concordance of treatment recommendations between WFO and local expertise (Manipal Multidisciplinary Tumour Board, MMDT

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Takes 60 seconds

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7393

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= Tumour

biospy

Extract DNA Next Generation Sequencing- E.g. 400 gene panel

FASTQ file

(raw sequence) Vcf file VCF file

Client filters out low quality reads

Authorized User ID Password

security safe guards around password, data encryption, data segregation, session timeout

Molecular

pathologist views

analysis from

Watson Genomics

Within the walls of the client - de-identification (outside WGA/IBM)

(Mutated TumourDNA)

Molecular

Pathologist

at client

Molecular pathologist uses the

analysis from WGA and “calls” the

appropriate mutations and signs

off on report

Medical

oncologist

counsels

Cancer patient

1 2 3 4

5

6

7

8

9

10

11

12 13

Watson Genomics Overview

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Best MDT Tumor Board equipped with Watson Oncology

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••

••

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93%

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Thanks