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Research on the Development and Validation of Personalized Exercise Prescriptions for Breast Cancer Patients Based on Large Language Models
Sponsor: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Summary
The goal of this observational study is to develop and evaluate a large language model (LLM)-based decision support system for exercise prescription in breast cancer patients, aiming to provide personalized decision-making support for postoperative breast cancer rehabilitation. The main questions it aims to answer are: How accurate, personalized, and safe are the exercise prescriptions generated by the fine-tuned LLM? How does the model's performance compare with other mainstream or non-fine-tuned models across different stages and subtypes of breast cancer? Participants are postoperative breast cancer rehabilitation patients treated at Sun Yat-sen Memorial Hospital of Sun Yat-sen University. They will have demographic, tumor, treatment, and physical fitness data collected; receive personalized exercise prescriptions automatically generated by the LLM-based system; and provide subjective evaluations on the feasibility and executability of the prescriptions.
Key Details
Gender
FEMALE
Age Range
18 Years - 75 Years
Study Type
OBSERVATIONAL
Enrollment
220
Start Date
2025-10-01
Completion Date
2027-07-01
Last Updated
2026-06-02
Healthy Volunteers
No
Conditions
Locations (1)
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
Guangzhou, Guangdong, China