Keynote Panel AI in Healthcare

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" summary

Panelists describe deployed systems and concrete problems not vague promises: a PrismRA diagnostic using a random forest predicts anti TNF response and runs in routine clinical use, a platform built from network biology links multiomic and EHR/claims data across tens of thousands of patients to stratify subgroups, Optum scales ML into revenue cycle and payment integrity, GE embeds AI into imaging devices with focus on model drift and AIOps, RxDataScience adapts trading floor tools for patient finder and QSP ODE modeling, COVID work uses HL7 streaming from Epic for near real time capacity monitoring.

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" chapters (5)

1. 0:00Start
2. 0:10Shahidul Mannan
3. 3:55Slava Akmaev
4. 11:25Matthew DiDonato
5. 50:43Nataraj Dasgupta

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