聊天GPT:精神病学的机会,风险和优先事项
Yaohui Wei1, Lei Guo2, Cheng Lian2
1Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Psychiatry and Psychotherapy, University Hospital Rechts der Isar, Technical University of Munich, Munich, Germany.
Asian journal of psychiatry
|October 28, 2023
概括
像ChatGPT这样的大型语言模型 (LLM) 提供了新的精神病学潜力,但需要仔细考虑. 积极的心理健康社区参与对于道德,公平和以患者为中心的AI整合至关重要.
科学领域:
- 精神病学是一个精神病学.
- 人工智能的人工智能
- 数字健康数字健康
背景情况:
- 大型语言模型 (LLM) 的进步在精神卫生保健中提出了新的应用.
- 人工智能在精神病学中的整合需要对其影响进行彻底审查.
研究的目的:
- 探索LLM在精神病学实践中提供的潜在机会.
- 识别与人工智能在心理健康中的固有风险和挑战.
- 突出需要关注的关键领域,以实现负责任的AI实施.
主要方法:
- 对当前在心理健康领域的人工智能能力的文献综述.
- 对LLM申请中的伦理考虑和潜在偏见的分析.
- 关于人工智能在精神病学中的整合专家意见的综合.
主要成果:
- 法律法规可以提高诊断的准确性,个性化治疗,并提高可访问性.
- 风险包括数据隐私问题,算法偏见和潜在的过度依赖技术.
- 关键重点领域包括强有力的验证,道德准则和临床医师培训.
结论:
- 心理健康社区的积极参与对于导航AI在精神病学中的作用至关重要.
- 确保道德实践,公平获取和以患者为中心的方法至关重要.
- 负责任地开发和部署LLMs可以彻底改变精神病学护理.
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