The liability gap holding clinical AI back — and who should solve it | JD Friedland (Cleveland Clinic)

JD Friedland is the executive director for ventures at Cleveland Clinic, where he evaluates and deploys emerging health technology across one of the country's largest and most research-intensive health systems. He walks through what Cleveland Clinic has actually built — some examples include: sepsis detection with Bayesian, clinical trial recruitment via Dyania, and surgical note generation through Theator's ambient video platform. He gets into why Cleveland Clinic's data is worth more today than it will be once the window to be an early contributor has closed, why OpenEvidence's pharma-advertising model gives him pause, and why the liability question, not the technology, determines the speed of clinical AI deployment.

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