AI in the Emergency Department: Time-Critical Decisions # Emergency medicine is where AI meets life-or-death decisions in real time. From sepsis prediction algorithms to triage decision support, AI promises to help emergency physicians identify critically ill patients faster and allocate resources more effectively. In April 2024, the FDA authorized the first AI diagnostic tool for sepsis, a condition that kills over 350,000 Americans annually.
The High Stakes of Diagnostic AI # When artificial intelligence gets a diagnosis wrong, the consequences can be catastrophic. Missed cancers, delayed stroke treatment, sepsis alerts that fail to fire, diagnostic AI failures are increasingly documented, yet lawsuits directly challenging these systems remain rare. This tracker compiles the evidence: validated failures, performance gaps, bias documentation, FDA recalls, and the emerging litigation that will shape AI medical liability for decades.
Healthcare represents the highest-stakes arena for AI standard of care questions. When diagnostic AI systems, clinical decision support tools, and treatment recommendation algorithms are wrong, patients die. With over 1,250 FDA-authorized AI medical devices and AI-related malpractice claims rising 14% since 2022, understanding the evolving standard of care is critical for patients, providers, and institutions.
Executive Summary # AI medical devices are proliferating faster than regulatory infrastructure can track their failures. With over 1,200 FDA-authorized AI devices and a 14% increase in AI-related malpractice claims since 2022, understanding the liability landscape has never been more critical.