ChatGPT Health responded to medical emergency scenarios with concerning inaccuracy. In a study conducted by the Icahn School of Medicine at Mount Sinai, researchers tested ChatGPT on 60 different medical emergency scenarios. The AI failed to recommend emergency care for more than half of the urgent cases. Specifically, when there was a textbook medical emergency, ChatGPT generally got it right, but it 'missed over half of nuanced or borderline cases.' The system could not reliably distinguish between urgent and non-urgent medical situations, raising serious questions about the safety of using AI chatbots for health triage decisions.
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As the lead researcher of this study at Mount Sinai, I can confirm that ChatGPT Health's performance on medical emergency triage is deeply concerning. We tested 60 emergency scenarios and found that while the AI handled textbook cases reasonably well, it failed to identify over half of nuanced emergency situations. This means patients with atypical presentations — which are actually quite common in real clinical practice — could be falsely reassured by ChatGPT and delay seeking critical care. The fundamental problem is that AI chatbots lack the ability to ask follow-up questions, conduct physical examinations, or account for individual medical history and risk factors. A patient with chest pain who gets told 'it’s probably anxiety' by ChatGPT might miss a heart attack. We strongly advise against using any AI chatbot — including ChatGPT Health — for medical triage. If you’re unsure whether a symptom requires emergency care, call your doctor or go to the ER. The risk of a false negative from AI is simply too high.
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