基于ChatGPT的数字咨询干预对癌症患者焦虑和抑郁的影响:一个前性随机试验
Orhun Akdogan1, Galip Can Uyar2, Enes Yesilbas2
1Gazi University Faculty of Medicine, Department of Medical Oncology, Turkey.
European journal of cancer (Oxford, England : 1990)
|April 11, 2025
概括
基于ChatGPT的咨询干预显著减少了新诊断的癌症患者的焦虑和抑郁. 这项研究强调了人工智能 (AI) 工具在改善瘤治疗中的心理痛苦方面的潜力.
科学领域:
- 在瘤学瘤学.
- 数字健康数字健康
- 人工智能的人工智能
背景情况:
- 新确诊的癌症患者经常经历心理困扰,包括焦虑和抑郁.
- 人工智能 (AI),特别是大型语言模型 (LLM),为患者教育提供了可扩展的选择.
- 人工智能干预措施在减少瘤学环境中的心理痛苦的有效性需要进一步调查.
研究的目的:
- 评估基于ChatGPT的数字咨询干预对焦虑和抑郁症的影响.
- 评估人工智能辅助咨询与癌症患者的标准临床医生主导教育相比的有效性.
- 在人工智能驱动的患者支持的背景下,确定减少焦虑和抑郁症的预测因素.
主要方法:
- 一个前性的,两中心随机对照试验与化学疗法以前的癌症患者进行.
- 参与者 (n=160) 被随机分配1:1,接受ChatGPT辅助咨询或标准护理.
- 主要结局是医院焦虑和抑郁量表 (HADS) 评分的变化;次要结局包括患者参与度和AI反应准确度.
主要成果:
- 与对照组相比,ChatGPT组的HADS-焦虑 (P=0.002) 和HADS-抑郁 (P<0.001) 评分明显较低.
- 聊天GPT使用是减少焦虑的最强预测因素 (OR,18.684;P<0.001).
- 人工智能产生的反应在88.5%的病例中是准确的,在饮食和性健康建议中指出了较小的不准确性.
结论:
- 在化疗前,基于ChatGPT的咨询干预有效地减少了新诊断的癌症患者的焦虑和抑郁.
- 人工智能驱动的数字工具显示,作为传统瘤学教育的辅助工具,有望改善患者的支持和参与.
- 需要进一步的研究来优化AI在癌症护理中的临床实施.
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