Generative Artificial Intelligence (AI) to Uncover Insights From Breast Cancer Patients' Perceptions to
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).
Generative AI analyzed patient insights from a 6-week Mindfulness-Based Stress Reduction (MBSR) program for breast cancer (BC) survivors. AI revealed patient subgroups, confirming MBSR effectively reduces psychological stress in BC patients.
Area of Science:
- Oncology
- Psychology
- Artificial Intelligence
Background:
- Breast cancer (BC) significantly impacts patients' psychological well-being.
- Mindfulness-Based Stress Reduction (MBSR) is a recognized intervention for managing stress.
- Exploring advanced analytical tools can enhance understanding of patient experiences.
Purpose of the Study:
- To utilize generative Artificial Intelligence (AI), specifically Large Language Models, for analyzing patient-reported outcomes.
- To gain deeper insights into the experiences of breast cancer (BC) patients undergoing a Mindfulness-Based Stress Reduction (MBSR) program.
- To identify patient subgroups and assess the effectiveness of MBSR in managing psychological stress.
Main Methods:
- A 6-week Mindfulness-Based Stress Reduction (MBSR) program was implemented.
- Each MBSR session included sitting meditation, body scan, Hatha yoga, and walking meditation.
- Generative AI was applied to analyze qualitative data from 25 BC participants.
Main Results:
- The majority of participants reported high satisfaction with the MBSR program.
- Generative AI analysis identified distinct subgroups within the patient population.
- The MBSR program demonstrated benefits in managing psychological stress associated with BC.
Conclusions:
- Generative AI is a powerful tool for analyzing patient-reported data in cancer care.
- MBSR programs are effective in mitigating psychological distress for breast cancer patients.
- Further research can leverage AI to personalize mindfulness interventions for cancer survivors.
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