生成型人工智能 (AI) 揭示了从乳腺癌患者的感知到基于正念的减压 (MBSR) 干预措施的洞察力
Yun-Chen Chang1, Chien-Hung Wu, Roberto Lupo
1Author Affiliations: School of Nursing and Graduate Institute of Nursing, China Medical University Taichung, Taiwan (Dr Chang); Nursing Department, China Medical University Hospital, Taichung, Taiwan (Dr Chang); Department of Optoelectronics and Materials Engineering, Chung Hua University, Hsinchu, Taiwan (Dr Wu); "San Giuseppe da Copertino" Hospital, ASL (Local Health Authority) Lecce, Italy (Dr Lupo); Hematology Unit, Azienda USL-IRCCS, Reggio Emilia, Italy (Dr Botti); Laboratory of Biomedical Physics and Environment, Department of Mathematics and Physics "E. De Giorgi", University of Salento, Lecce, Italy (Drs Conte and De Nunzio); Advanced Data Analysis in Medicine (ADAM), Laboratory of Interdisciplinary Research Applied to Medicine (DReAM), University of Salento and ASL (Local Health Authority), Lecce, Italy (Drs Conte and De Nunzio); Scientific Directorate, Trial Office, IRCCS Istituto Tumori "Giovanni Paolo II", Bari, Italy (Dr Vitone); Laboratorio di Biostatistica e Bioinformatica, IRCCS Istituto Tumori "Giovanni Paolo II", Bari, Italy (Dr Massafra); and Scientific Directorate, IRCCS Istituto Tumori "Giovanni Paolo II", Bari, Italy (Dr Vitale).
生成性AI分析了乳腺癌 (BC) 幸存者为期6周的基于正念的压力减轻 (MBSR) 计划的患者见解. 人工智能揭示了患者子组,证实MBSR有效降低BC患者的心理压力.
科学领域:
- 在瘤学瘤学.
- 心理学 心理学 心理学
- 人工智能的人工智能
背景情况:
- 乳腺癌 (BC) 显著影响患者的心理健康.
- 基于正念的压力减轻 (MBSR) 是一种公认的应对压力的干预措施.
- 探索先进的分析工具可以提高对患者体验的理解.
研究的目的:
- 利用生成性人工智能 (AI),特别是大型语言模型,来分析患者报告的结果.
- 为了更深入地了解乳腺癌 (BC) 患者的经历,他们接受了基于正念的压力减轻 (MBSR) 计划.
- 确定患者子组,并评估MBSR在管理心理压力的有效性.
主要方法:
- 实施了为期6周的基于正念的压力减轻 (MBSR) 计划.
- 每个MBSR课程都包括坐禅,身体扫描,哈萨和散步冥想.
- 应用了生成AI来分析25名BC参与者的定性数据.
主要成果:
- 大多数参与者表示对MBSR计划的满意度很高.
- 生成性AI分析在患者群体中确定了不同的子组.
- 该MBSR计划在管理与BC相关的心理压力方面表现出了好处.
结论:
- 生成性人工智能是分析癌症护理中患者报告数据的强大工具.
- 在减轻乳腺癌患者的心理痛苦方面,MBSR计划是有效的.
- 进一步的研究可以利用人工智能为癌症幸存者个性化正念干预.
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