The Application of Large Language Models in Medicine: A Scoping Review
iScience(2024)
摘要
This study systematically reviewed the application of Large Language Models (LLMs) in medicine, analysing 550 selected studies from a vast literature search. LLMs like ChatGPT transformed healthcare by enhancing diagnostics, medical writing, education, and project management. They assisted in drafting medical documents, creating training simulations, and streamlining research processes. Despite their growing utility in assisted diagnosis and improving doctor-patient communication, challenges persisted, including limitations in contextual understanding and the risk of over-reliance. The surge in LLM-related research indicated a focus on medical writing, diagnostics, and patient communication, but highlighted the need for careful integration, considering validation, ethical concerns, and the balance with traditional medical practice. Future research directions suggested a focus on multimodal LLMs, deeper algorithmic understanding, and ensuring responsible, effective use in healthcare.
更多查看译文
关键词
Large Language Models (LLMs),Medical Research,Geographical Distribution,Organ System Research,Medical Applications,IT Advancements,Medical Writing,Auxiliary Diagnosis,Patient Communication,Medical Education
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要