Generative Artificial Intelligence (AI) to Uncover Insights From Breast Cancer Patients' Perceptions to Mindfulness-Based Stress Reduction (MBSR) Interventions.
Yun-Chen ChangChien-Hung WuRoberto LupoStefano BottiLuana ConteMarcello VitoneRaffaella MassafraGiorgio De NunzioElsa VitalePublished in: Holistic nursing practice (2024)
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.
Keyphrases
- artificial intelligence
- machine learning
- big data
- deep learning
- quality improvement
- chronic pain
- healthcare
- computed tomography
- physical activity
- autism spectrum disorder
- clinical trial
- randomized controlled trial
- magnetic resonance imaging
- magnetic resonance
- depressive symptoms
- stress induced
- heat stress
- lower limb