在医疗保健心理学之外的人工智能
1Departments of Neurology, Neurosurgery, and Physical Medicine & Rehabilitation, University of Kentucky College of Medicine, Lexington, KY, United States. d.han@uky.edu.
Journal of clinical psychology in medical settings
|October 10, 2025
概括
生成型人工智能和大型语言模型 (LLM) 为医疗心理学家带来了新的机遇和伦理挑战. 参与这些人工智能 (AI) 工具对于负责任地推进患者护理至关重要.
科学领域:
- 心理学 心理学 心理学
- 计算机科学 计算机科学
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 人工智能 (AI) 的发展可以追溯到20世纪40年代,最近在生成性AI和大型语言模型 (LLM) 的进展引起了公众的重大关注.
- 人工智能工具的广泛采用需要检查它们对临床实践和医疗保健环境的影响.
- 医疗心理学家必须适应人工智能的整合,人工智能通过算法模拟人类智能.
研究的目的:
- 突出产生性AI和LLM对医疗保健心理学家的影响.
- 强调心理学家需要发展AI软件和硬件的识字能力.
- 强调临床医生在采用人工智能技术方面的道德责任.
主要方法:
- 关于人工智能进步及其与医疗保健的交叉点的文献综述.
- 对心理学家的伦理考虑和职业责任的分析.
- 探索人工智能在临床心理学中的机遇和挑战.
主要成果:
- 生成性AI和LLM在临床领域提供了新的应用,提出了创新和道德困境.
- 医疗心理学家面临着迫切需要了解并将AI整合到他们的实践中.
- 对人工智能的负责任管理需要心理伦理和技术素养的基础.
结论:
- 医疗保健心理学家必须主动与人工智能接触,以利用其对患者护理的好处.
- 在心理学实践中应用AI时,道德考虑至关重要.
- 对人工智能的知情参与确保技术进步与患者福祉和专业标准保持一致.
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