大型语言模型和医疗保健联盟:两个代表性使用案例的潜力和挑战
Silvia García-Méndez1, Francisco de Arriba-Pérez2
1Information Technologies Group, atlanTTic, University of Vigo, Vigo, Spain.
Annals of biomedical engineering
|February 3, 2024
概括
大型语言模型 (LLM) 显示出加速临床实践和改变治疗的前景. 这项研究探讨了它们在治疗认知衰退和产后抑郁症的医疗保健中的应用,讨论了它们的好处和挑战.
科学领域:
- 人工智能的人工智能
- 自然语言处理自然语言处理.
- 临床信息学 临床信息学
背景情况:
- 大型语言模型 (LLM) 正在成为一种强大的自然语言处理 (NLP) 方法,以加速临床实践,包括诊断,预防和治疗.
- 由LLM驱动的智能对话系统,以ChatGPT为例,正在彻底改变治疗干预.
- 这项研究调查了LLM在医疗保健中的应用,重点关注认知衰退和产后抑郁症.
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