AI Updates and Regressions

Send us Fan MailWe examine how clinician-built AI can safely support emergency care, where consumer tools fall short, and why planning, context, and evaluation matter more than model hype. We also share a patient-facing approach to unify records and recordings for safer, clearer answers.• differences between consumer and medical‑grade AI, HIPAA and BAAs• model regressions, sycophancy, and hallucinations• context engineering and planned prompting for safety• ambient clinical decision support at the bedside• evaluations, benchmarks, and model selection• medico‑legal uncertainty and state regulations• education risks of over‑reliance on AI• human oversight, prioritization, and tactile care• patient empowerment via unified records and encounter recordings• interoperability gaps and practical workaroundsSupport the show