Surgical AI podcast finale: from NSQIP risk models to agentic systems in the OR
Laparoscopes · x · 2026-11-10
The Behind The Knife podcast concludes its 3-part Clinical Informatics for Surgeons series with a 35-minute discussion among clinical informatics experts from USF, UF, and Duke.
- Frames OR AI as machines that see (flagging unsafe dissection zones on laparoscopic video), read (auto-drafting op notes and plain-language patient summaries), and act (queuing ICU bed requests)
- Distinguishes predictive, generative, and agentic AI with surgical examples
- Traces risk prediction from the regression-based ACS NSQIP calculator to ML models like XGBoost, POTTER, and MySurgeryRisk
- Discusses what's already in operating rooms, what's arriving fast, and how surgeons without ML degrees stay in control
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