A chatbot had more instances of incorrect reasoning than doctors did but scored higher overall.
A study comparing the clinical reasoning of an artificial intelligence model with that of physicians found the AI outperformed residents and attending physician s in simulated cases. The AI had more instances of incorrect reasoning than the doctors did but scored better overall. The study involved 39 physicians from two academic medical centers in Boston and the generative AI model GPT-4., abdominal pain, cough, and chest pain.
The primary outcome was the Revised-IDEA score, a 10-point scale evaluating clinical reasoning documentation across four domains: Interpretive summary, differential diagnosis, explanation of the lead diagnosis, and alternative diagnoses.AI achieved a median R-IDEA score of 10, higher than attending physicians and residents .
The chatbot had a significantly higher estimated probability of achieving a high R-IDEA score of 8-10 compared with attendings and residents . AI provided more responses that contained instances of incorrect clinical reasoning than residents and attending physicians . It performed similarly to physicians in diagnostic accuracy and inclusion of cannot-miss diagnoses."Future research should assess clinical reasoning of the LLM-physician interaction, as LLMs will more likely augment, not replace, the human reasoning process," the authors of the study wrote.
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Health And Medical Tech Health And Med Tech Health And Medical Technology Healthcare Technology Medical Technology Artificial Intelligence Deep Learning AI NPL Machine Learning ML Natural Language Processing Artificial Neural Networks Residency Residents Otolaryngology ENT Specialty Head And Neck Surgery ENT Speciality Attending Physician
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