
A patient can deteriorate while the warning signs remain buried in a noisy electronic record. Dr. Suchi Saria, Founder and CEO of Bayesian Health and a faculty member at Johns Hopkins University, has spent her career trying to surface those signals sooner. She explains why a strong retrospective model is only the starting point — and why prospective validation, workflow integration, physician adoption, monitoring, and financial sustainability determine whether clinical AI ever reaches patients. Her work on early sepsis recognition became personal after she lost her nephew to the condition, turning an academic agenda into an urgent effort to prevent failures to rescue. Saria also challenges the current center of gravity in health care AI: tools increasingly prepare for visits, transcribe conversations, and support billing, while comparatively few directly help clinicians care for patients. She envisions a third modality of medicine alongside drugs and devices — rigorous, software-based interventions that identify when to act, what to do, and for whom. Transcript.
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