在临床调查中探索ChatGPT:对特征,应用,挑战和评估进行范围审查
Shahabeddin Abhari1, Yasna Afshari2,3, Farhad Fatehi4
1School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada.
Annals of medicine and surgery (2012)
|December 9, 2024
概括
像ChatGPT一样,生成性人工智能 (AI) 在医疗保健领域提供了决策支持和教育的潜力. 严格的评估对于安全的临床整合和改善患者护理结果至关重要.
科学领域:
- 人工智能在医学中的应用
- 生成型人工智能应用程序
- 临床决策支持系统 临床决策支持系统
背景情况:
- 生成型人工智能的进步,如ChatGPT,为医疗保健应用提供了机会,包括决策支持,教育和患者参与.
- 在广泛采用人工智能工具之前,确保可靠性和安全性至关重要.
研究的目的:
- 对ChatGPT在临床研究中的作用进行范围审查.
- 探索其在医疗保健环境中的特点,应用,挑战和评估方法.
主要方法:
- 根据PRISMA-ScR指南,在2023年进行了全面的范围审查.
- 在多个学术数据库 (PubMed,Scopus,IEEE,Web of Science,Cochrane,Google Scholar) 的搜索中使用了相关的关键词.
- 数据合成涉及定量和定性方法,分析了41项学术研究.
主要成果:
- 聊天GPT在医学教育,患者护理和决策支持方面显示出潜力,性能因专业和语言而异.
- 在26项研究中普遍存在的GPT-3.5在各种医疗场景中表现出适应性.
- 确定的主要挑战包括对答案密钥的有限访问和不一致的性能,需要持续改进.
结论:
- 聊天GPT对提高临床实践和医疗教育具有重大前景.
- 持续改进对于成功的医疗整合至关重要,旨在改善患者的治疗结果并满足不断变化的医疗社区需求.
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