Casey C. Bennett

Artificial Intelligence in Healthcare

1Dept. of InformaticsCenterstone Research Institute

Nashville, TN, USA

2School of Informatics and ComputingIndiana University

Bloomington, IN, USA

Cognitive Offload

We can make predictions and discover patterns, but what do you do with them?

Data

Patterns

Predictions

Decisions

Building a Pipeline

Temporal Models

Markov Decision Processes (MDPs)

Dynamic Decision Networks (DDNs)

Clinical Indicators

Socio-demographic

Genetic Data

Etc.

Patterns

Make PredictionsMake Decisions

Machine Learning/Statistical Techniques – predict risk stratification, treatment response , survival, re-hospitalization, LOS, etc.

Step 1Step 2Step 3

a = Action/Treatments = Patient Stateo = Observationc = Costst = Timecpuc = Utility

Transition Models

Predictions

Patterns

Make DecisionsStep 3

a = Action/Treatments = Patient Stateo = Observationc = Costst = Timecpuc = Utility

Belief States

Plan over Time

Plan/re-plan

Bennett CC and K Hauser (2013) “Artificial Intelligence Framework for Simulating Clinical Decision-Making: A Markov Decision Process Approach.” Artificial Intelligence in Medicine. 57(1): 9-19.

Bennett CC and K Hauser (2013) “Artificial Intelligence Framework for Simulating Clinical Decision-Making: A Markov Decision Process Approach.” Artificial Intelligence in Medicine. 57(1): 9-19.

Data

Patterns

Predictions

Decisions

Building a Pipeline

Temporal Models

Simplification

Components to classify/cluster/etc.

21

Find Patterns Make Decisions

Components that determine optimal actions, based on

those patterns

Natural SelectionRelativity

Darwin Einstein

Cognitive Computing

IBM and others

Botvinick M (2012) “Heirarchical Relational Learning and Decision Making.” Current Opinions in Neurobiology. 22(6): 956-962.

The Future?

Personalized AI?

Ongoing Collaborations

Thank you

- www.CaseyBennett.com

- http://r-house.soic.indiana.edu/ - IU Human-Robot Interaction Lab

- www.CenterstoneResearch.org - CRI