Generative Artificial Intelligence (AI) to Uncover Insights From Breast Cancer Patients' Perceptions to Mindfulness-Based Stress Reduction (MBSR) Interventions.

Journal: Holistic nursing practice
Published Date: Aug 13, 2025

Abstract

The study's central objective is to harness the power of generative Artificial Intelligence (AI), in particular based on Large Language Models, as a valuable resource for delving deeper into the insights offered by patients with breast cancer (BC) who actively participated in a Mindfulness-Based Stress Reduction (MBSR) program. In a 6-week MBSR program, each session lasted 2 hours and encompassed a range of techniques, including sitting meditation, body scan, Hatha yoga, and walking meditation. A total of 25 participants were enrolled in the study. The majority of these participants reported a high level of satisfaction with the mindfulness course. The application of generative AI enabled a comprehensive analysis of the participants' responses, revealing distinct subgroups among them. The MBSR program was found to be beneficial for most participants, serving as a valuable tool in managing the psychological stresses associated with BC.

Authors

  • Yun-Chen Chang
    Author 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).
  • Chien-Hung Wu
  • Roberto Lupo
    San Giuseppe da Copertino Hospital, Local Health Authority, Copertino, Lecce, Italy.
  • Stefano Botti
    Hematology and Hematopoietic Stem Cell Transplantation Unit, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS) San Raffaele Scientific Institute, Milan, Italy.
  • Luana Conte
    Department of Mathematics and Physics "E. De Giorgi", Laboratory of Biomedical Physics and Environment, Università del Salento, Lecce, Italy.
  • Marcello Vitone
  • Raffaella Massafra
    Laboratorio di Biostatistica e Bioinformatica, Fisica Sanitaria, I.R.C.C.S. Istituto Tumori "Giovanni Paolo II", Bari, Italy.
  • Giorgio De Nunzio
    Laboratory of Biomedical Physics and Environment, Department of Mathematics and Physics "E. De Giorgi", Università del Salento, Lecce, Italy.
  • Elsa Vitale
    Direzione Scientifica, I.R.C.C.S. Istituto Tumori "Giovanni Paolo II", Bari, Italy.

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