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AI models struggle to accurately identify genetic conditions from patient-written descriptions.
NIH researchers discovered that AI models struggle to accurately identify genetic conditions from patient-written descriptions, despite accurately diagnosing from textbook-like descriptions.
Testing 10 different large language models, including ChatGPT, the team found that accuracy ranged widely, dropping significantly when analyzing patient-written summaries.
This highlights the need to improve AI tools for healthcare applications.
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Los modelos de IA tienen dificultades para identificar con precisión las condiciones genéticas a partir de descripciones escritas por los pacientes.