人工智能增强了聊天机器人热潮:单一中心的观察研究来评估临床麻醉学方面的协助
Sowmya M Jois1, Srinivasan Rangalakshmi1, Sowmya Madihalli Janardhan Iyengar1
1Department of Anaesthesiology, RajaRajeswari Medical College, Bangalore, Affiliated to MGR University, Bengaluru, Karnataka, India.
Journal of anaesthesiology, clinical pharmacology
|April 18, 2025
概括
这项研究评估了聊天生成预训练变压器 (GPT) 在麻醉学中的临床决策. 虽然聊天GPT与住院麻醉师的不同意见,但使用提示提高了其在手术期间的表现.
科学领域:
- 麻醉学和外科手术期间的医学.
- 医疗保健中的人工智能
- 临床决策支持系统 临床决策支持系统
背景情况:
- 技术的进步正在推动个性化麻醉计划.
- 聊天生成预训练变压器 (GPT) 在医学中的整合促使对麻醉师的实用性进行评估.
- 对准确性,患者隐私和伦理方面的担忧需要严格评估临床环境中的AI工具.
研究的目的:
- 评估聊天GPT在麻醉学中协助临床决策的能力.
- 在模拟的手术室场景中,将聊天GPT的表现与住院麻醉师的表现进行比较.
主要方法:
- 一项涉及30个假设的手术内临床场景的横截面研究.
- 收集和比较了住院麻醉师和聊天GPT 4的反应.
- 在最初的五个场景中,研究了额外提示对聊天GPT响应的影响.
主要成果:
- 班级间系数 (ICC) 值表明聊天GPT和麻醉师之间的变量一致,从中度 (ICC=0.41) 到弱 (ICC=0.06).
- 在聊天GPT和住院麻醉师之间,答案的准确性和全面性各不相同.
- 使用Chat GPT的提示提示导致了对麻醉师反应的更好的同意.
结论:
- 聊天GPT展示了临床决策支持在麻醉学方面的潜力,但与住院医生相比,协议的显著差异.
- 通过战略提示,可以提高聊天GPT在手术内场景解决方案中的有效性.
- 在临床广泛采用之前,需要进行进一步的研究,以解决有关准确性,隐私和伦理影响的担忧.
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