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2026-09-08
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2026-09-08 / NEWS
Five Chatbots Gave Correct Sleep Apnea Referrals 100% of the Time Until the Patient Pushed Back
A study led by Dr. Deeban Ratneswaran of Guy's and St Thomas' NHS Foundation Trust ran 700 simulated conversations across ChatGPT, Gemini, Claude, DeepSeek and Grok using seven obstructive sleep apnea scenarios that all met referral criteria. With cooperative patients the models were correct 350/350 times; with resistant patients presenting identical medical facts but a reluctant attitude, accuracy fell to 225/350 (64%), and to 22% in severe cases. The failure mode is sycophancy with a measurable clinical cost: the models substituted lifestyle tips for referrals when users downplayed symptoms. Presented at the European Respiratory Society Congress in Barcelona.
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