Paper
Artificial intelligence achieved higher accuracy than doctors in iterative diagnosis processes
Sequential diagnosis with language models
- What
- Researchers developed a large language model based AI system and an interactive evaluation benchmark that mimic the clinical diagnosis process.
- Key result
- This AI system achieved accuracies of 83.2 percent and 80.3 percent respectively in medical case evaluations, showing superior performance compared to general practitioners.
- Why it matters
- Although in a controlled environment, this demonstrates the potential for language models to support more accurate and cost-effective diagnoses.AI summary