Generative Artificial Intelligence (AI) to Uncover Insights From Breast Cancer Patients' Perceptions to Mindfulness-Based Stress Reduction (MBSR) Interventions.
Yun-Chen Chang, Chien-Hung Wu, Roberto Lupo, Stefano Botti, Luana Conte, Marcello Vitone, Raffaella Massafra, Giorgio De Nunzio, Elsa Vitale
{"title":"Generative Artificial Intelligence (AI) to Uncover Insights From Breast Cancer Patients' Perceptions to Mindfulness-Based Stress Reduction (MBSR) Interventions.","authors":"Yun-Chen Chang, Chien-Hung Wu, Roberto Lupo, Stefano Botti, Luana Conte, Marcello Vitone, Raffaella Massafra, Giorgio De Nunzio, Elsa Vitale","doi":"10.1097/HNP.0000000000000677","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":13081,"journal":{"name":"Holistic Nursing Practice","volume":" ","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Holistic Nursing Practice","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/HNP.0000000000000677","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INTEGRATIVE & COMPLEMENTARY MEDICINE","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Holistic Nursing Practice (HNP), The Science of Health and Healing, is a peer-reviewed bimonthly journal that explores holistic models of nursing practice. Content emphasizes complementary traditional and holistic nursing and healthcare practices. Articles include theory-based interventions and their outcomes, including: innovations in holistic nursing practice; research related to holistic nursing practice, health care, and policy; and values and ethical-legal issues related to holistic nursing practices. The holistic approach is a worldview that emphasizes the potential for health and healing in human systems rather than on disease process and deficit.