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Adapted large language models (LLMs) have demonstrated the ability to outperform medical experts in clinical text summarization across various tasks, including radiology reports and patient interactions. A study involving 10 physicians found that summaries generated by the best-adapted LLMs were often deemed equivalent or superior to those created by human experts, highlighting the potential for LLMs to alleviate documentation burdens in clinical settings. However, the research also identified challenges re
- Author
- 陈泽铭
- Language
- EN