1 / 24

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare. Casey C. Bennett. 1 Dept. of Informatics Centerstone Research Institute Nashville, TN, USA 2 School of Informatics and Computing Indiana University Bloomington, IN, USA. Cognitive Offload.

zanta
Download Presentation

Artificial Intelligence in Healthcare

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Artificial Intelligence in Healthcare Casey C. Bennett • 1Dept. of Informatics • Centerstone Research Institute • Nashville, TN, USA • 2School of Informatics and Computing • Indiana University • Bloomington, IN, USA

  2. Cognitive Offload

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

  4. Building a Pipeline Data Patterns Predictions Temporal Models Decisions

  5. Patterns Step 3 Step 2 Step 1 Predictions Make Predictions Make Decisions Transition Models Clinical Indicators Socio-demographic a = Action/Treatment s = Patient State o = Observation c = Costs t = Time cpuc = Utility Patterns Genetic Data Etc. Markov Decision Processes (MDPs) Machine Learning/Statistical Techniques – predict risk stratification, treatment response , survival, re-hospitalization, LOS, etc. Dynamic Decision Networks (DDNs)

  6. Step 3 Make Decisions a = Action/Treatment s = Patient State o = Observation c = Costs t = Time cpuc = Utility Belief States Plan over Time Plan/re-plan

  7. 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.

  8. 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.

  9. Building a Pipeline Data Patterns Predictions Temporal Models Decisions

  10. Simplification

  11. 1 2 Components to classify/cluster/etc. Components that determine optimal actions, based on those patterns Find Patterns Make Decisions

  12. Relativity Natural Selection Einstein Darwin

  13. Cognitive Computing IBM and others

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

  15. The Future? Personalized AI?

  16. Ongoing Collaborations

  17. Thank you • www.CaseyBennett.com • http://r-house.soic.indiana.edu/ - IU Human-Robot Interaction Lab • www.CenterstoneResearch.org - CRI

More Related