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Selection of Presentations for Public and Online Events

Presentations Research and Data
GitHub Research
Members of HealthRex Lab have given a wide array of presentations online and in person on topics ranging from machine learning in medicine to healthcare reform. Dr. Jonathan Chen and associates have presented at highly regarded events, including but not limited to the AMIA Informatics Summit, the Pacific Symposium of Biocomputing, and the NIH/NIDA Clinical Trials Network. Dr. Chen was also featured as a guest speaker for TEDx University at Buffalo and the Youtube series “The Future of Everything.”
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Please do not use the contents of these presentations without permission.

Selected Presentations

What does it mean to bring AI into health care? | Ep.1: Health Compass Podcast 11/13/2024

Frontiers in Medicine - AI in Medicine: Pitfalls and Potential 9/19/2024

Artificial Intelligence in Medicine: Bridging the Gap Between Magic and Illusion 3/11/2024

AI in Medicine - Real Magic or Technological Illusions 10/11/2023

Jonathan Chen:

Can algorithms make doctors better? (2020)

Delivering Compelling Talks - Why, What, and How? 4/20/2023

AI and Machine Learning with Jonathan Chen (2018)

Data Mining Clinical Decision Support from Electronic Health Records (Research Overview) Fall 2020

Stanford AIMI Symposium 2020

Can Computers Make Physicians Smarter? (2020)

Deep Cohort Studies: From Google Baseline to the Precision Medicine Initiative to VA's Million Veterans (2017)

Understanding Healthcare Reform:

Pre-ACA to ACA to ...? (2017)

Wisdom of the Crowd or Tyranny of the Mob? Will AI/MI Amplify Our Capabilities or Exacerbate our Problems? (2016-2017)

Discovering and Distributing the Latent Knowledge Embedded in Clinical Data (2017)

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Predicting Low Information Laboratory Diagnostic Tests (2018)

Decaying Relevance of Clinical Data when Predicting Future Decisions (2016)

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Usability of an Automated Recommender System for Clinical Order Entry (2016)

Automated Physician Order Recommendations and Outcome Predictions by Data-Mining Electronic Medical Records (2014)

The Physician Data Scientist, An Unexpected Journey (2017-2018)

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