Adaptive diagnostic reasoning framework for pathology with multimodal large language models
Abstract Background Artificial intelligence enhances pathology screening efficiency, yet clinical adoption remains limited because most systems operate as opaque black boxes. We aim to resolve this opacity by establishing a framework that generates transparent, evidence-linked reasoning to support d...
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| Главные авторы: | , , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Portfolio
2026-03-01
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| Серии: | Communications Medicine |
| Online-ссылка: | https://doi.org/10.1038/s43856-026-01491-z |
| Метки: |
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