AI is more accurate than doctors in emergency diagnoses — study – Computerworld

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A new study from Harvard Medical School indicates that AI can outperform doctors in initial assessments in emergency care, according to The Guardian. The study, published in the journal Science, compared AI tools with doctors in triage situations — the process in which patients are sorted and prioritized, and where quick decisions must be built based on limited information.

The results display that the AI system identified the correct or nearly correct diagnosis in 67% of cases, compared to 50% to 55% percent for doctors. When more detailed patient data was available, the AI’s accuracy increased to 82%, while the doctors’ accuracy ranged from 70% to 79%.

The AI, based on OpenAI’s model o1, also performed better when it came to developing treatment plans. In a test applying clinical cases, the AI achieved 89% accuracy, while doctors applying traditional tools such as search engines reached 34%.



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