Medical AI and Healthcare Support

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Copyright © 2017 Nader Al-Shamma 1 Medical AI & Healthcare Support Nottingham AI February 28, 2017

Transcript of Medical AI and Healthcare Support

Page 1: Medical AI and Healthcare Support

Copyright © 2017 Nader Al-Shamma 1

Medical AI & Healthcare Support

Nottingham AIFebruary 28, 2017

Page 2: Medical AI and Healthcare Support

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Why Care About Chronic Illness?

Long term chronic disease is one of the

biggest challenges health systems, globally,

will face during the twenty-first century.

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What we are dealing with

89% of Deaths

Each Year

~15 Million in

England

12% of

Premature

Deaths

“Tobacco use, physical inactivity,

the harmful use of alcohol and

unhealthy diets all increase the

risk of dying from an NCD.”

*UK Figures

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Three Areas of Focus

Diet and Nutrition

Lifestyle and

Self-management

Patient Monitoring

and Insight

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Artificial Intelligence and Medicine

● Researchers have been talking about this since the 1950s

● Successfully implimented in 1976

● Research is fosucing on a number of areas including

diagnostics, prognostics and clinical support.

● Research is looking into specific diseases.

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AI in clinical care

Johnson et al. (2016) conducted a thorough review of Machine Learning in critical care

(ICU).

The challenge:

● Data comes from a variety of different departments

● Data is often missing or corrupted

● It’s an environment that lends itself to human error

Conclusion:

● Machine Learning is effective in gathering, analysing, interpreting and presenting a

wide range of clinical data in a relevant and useable format.

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AI in Diagnostic

Artificial Neural Network (ANN) and a Probabilistic Neural

Network (PNN) used to diagnose IBD.

98.31% Rate of Accuracy.

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AI in Prognostics

The Fight Aginst Drug Resistant Bacteria.

Hidden Markov and Fuzzy logic can help

determine proper antibiotic dosage.

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AI in Healthcare Support

Case Based Reasoniong is being used in the fight against diabetes.

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AI in Healthcare Support

AI and the Xbox Kinect helping to treat Parkinson's

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Where are we going?

“We are moving towards an era of Cognitive Systems”

Dr Laura Haas, IBM

Future Technology Conference

San Francisco 2016

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References:

● SAIConference, Cognitive Computing - Laura Haas, IBM. 2016.

● ‘WHO | Noncommunicable diseases’, WHO. [Online]. Available: http://www.who.int/nmh/en/. [Accessed: 27-Feb-2017].

● ‘2010 to 2015 government policy: long term health conditions - GOV.UK’. [Online]. Available: https://www.gov.uk/government/publications/2010-to-2015-government-policy-long-term-health-conditions/2010-to-2015-government-policy-long-term-health-conditions. [Accessed: 27-Feb-2017].

● ‘NHS Outcomes Framework 2016 to 2017 - GOV.UK’. [Online]. Available: https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017. [Accessed: 27-Feb-2017].

● ‘The Evolution of Bacteria on a “Mega-Plate” Petri Dish (Kishony Lab) - YouTube’. [Online]. Available: https://www.youtube.com/. [Accessed: 28-Feb-2017].

● A. P. Eremeev and V. N. Vagin, ‘Common Sense Reasoning in Diagnostic Systems’, 2011.

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Nader Al-Shamma

Nadershamma.com

@nadershamma

uk.linkedin.com/in/nadershamma