An advanced AI model outperforms medical diagnosis in a study using clinical cases and A&E data
The use of artificial intelligence (AI) in medical diagnosis centres on computing and data processing. Research published in Science assesses the diagnostic capabilities of an advanced large language model, which managed to match or outperform human professionals. The team carried out six experiments involving both standardised clinical cases and a study using real cases from emergency department records, using the performance of hundreds of doctors as a benchmark. The AI proved particularly useful in situations of uncertainty, such as the initial stages of triage in the emergency department. However, the authors highlight that the model only processed text, whereas clinical practice also relies on visual and auditory cues.
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