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Generative Artificial Intelligence (AI) to Uncover Insights From Breast Cancer Patients' Perceptions to Mindfulness-Based Stress Reduction (MBSR) Interventions.
Chang, Yun-Chen; Wu, Chien-Hung; Lupo, Roberto; Botti, Stefano; Conte, Luana; Vitone, Marcello; Massafra, Raffaella; De Nunzio, Giorgio; Vitale, Elsa.
Affiliation
  • Chang YC; 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
Holist Nurs Pract ; 2024 Aug 22.
Article in En | MEDLINE | ID: mdl-39186509
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.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Holist Nurs Pract Journal subject: ENFERMAGEM Year: 2024 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Holist Nurs Pract Journal subject: ENFERMAGEM Year: 2024 Document type: Article Country of publication: United States