ChatGPT Health's Triage Blind Spots: A Wake-Up Call for Clinical AI
The urgent need for human oversight in clinical domains is clear.
Tom Barrett
3/6/20261 min read
A new Mount Sinai study reveals ChatGPT Health under-triaged over 50% of genuine medical emergencies—like diabetic ketoacidosis and early respiratory failure—advising 24-48 hour waits instead of ER visits, despite spotting risks in its own analysis.
This underscores the urgent need for human oversight in clinical domains. AI excels at textbook cases (heart attack, anaphylaxis) but falters in nuanced, time-sensitive scenarios where clinical judgment reigns—especially when social factors like family minimization amplify errors 12x.
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https://www.mountsinai.org/about/newsroom/2026/research-identifies-blind-spots-in-ai-medical-triage
