聊天GPT和跨直接电流刺激用于慢性疼痛
Edson Silva-Filho1, Rodrigo Pegado1,2
1Both authors are with Graduate Program in Heath Science, Graduate Program in Physical Therapy, Federal University of Rio Grande do Norte in Rio Grande do Norte, Brazil.
Innovations in clinical neuroscience
|March 18, 2024
概括
人工智能 (AI) 在通过跨直流刺激 (tDCS) 管理慢性疼痛方面表现有前途. 虽然像ChatGPT这样的AI工具可以帮助研究人员和临床医生,但它们的使用需要仔细考虑当前的局限性.
科学领域:
- 神经科学是一个神经科学.
- 医疗技术 医疗技术 医学技术
- 人工智能的人工智能
背景情况:
- 探讨人工智能 (AI) 在科学研究和临床实践中的整合.
- 专注于跨直流刺激 (tDCS) 在慢性疼痛管理中的应用.
研究的目的:
- 探索将AI,特别是ChatGPT整合到科学和临床实践中.
- 评估AI在tDCS的背景下对慢性疼痛管理的实用性.
- 确定关于神经调节中的人工智能的科学和临床讨论中的现有差距.
主要方法:
- 制定了关于AI和慢性疼痛的tDCS的三个关键问题.
- 分析了由ChatGPT生成的响应.
- 将人工智能生成的答案与有关tDCS的现有文献,指南和Cochrane评论进行了比较.
主要成果:
- 人工智能,以ChatGPT为例,显示出作为临床医生和研究人员的支持工具的潜力.
- 人工智能的能力与当前的文献和对慢性疼痛中tDCS的指南保持一致.
- 关于人工智能在神经调节中的作用的科学和临床话语存在重大未满足的需求.
结论:
- 人工智能提供了一个有前途的策略,帮助专业人士通过tDCS来管理慢性疼痛.
- 在学术和临床环境中应用人工智能需要仔细考虑其局限性.
- 持续的对话对于安全有效地将AI整合到神经调制实践中至关重要.
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