Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Phase
Observational
Started
2025-10-01
Last updated
2026-06-02
Condition(s) studied
Breast Cancer
Study 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.
Eligibility
Sex
FEMALE
Min age
18 Years
Max age
75 Years
Healthy volunteers
No
Inclusion Criteria:
* Adult patients aged 18-75 years with early-stage breast cancer who have undergone surgical treatment, such as mastectomy or breast-conserving surgery.
* ECOG performance status of 0-1, with adequate physical condition to participate in rehabilitation assessment and exercise prescription activities.
* Availability of essential clinical data, including demographic characteristics, tumor stage and subtype, treatment history, and baseline physical fitness assessment.
* Able to communicate effectively, maintain stable follow-up contact, and voluntarily participate in evaluation and feedback on exercise prescriptions.
Exclusion Criteria:
* Presence of severe postoperative complications or comorbidities (e.g., uncontrolled cardiac or pulmonary disease) that may interfere with participation in rehabilitation or pose a safety risk.
* Significant physical or mobility impairments preventing the performance of prescribed exercises.
* Severe psychiatric illness or cognitive dysfunction that hinders cooperation with assessments or follow-up.
* Incomplete or missing key clinical data, making evaluation or follow-up impossible.
* Any other condition deemed inappropriate for participation by the investigators.
Primary outcome measure(s)
Average 5-point Likert scores across five expert-defined dimensions-individualization, comprehensiveness, scientific rationality, safety, and executability-are used to compare the performance of fine-tuned models with that of mid-level physicians. — From enrollment to completion of prescription evaluation at 1 week
Trial sites (1)
Facility
City
Region
Status
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
Guangzhou
Guangdong
More Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University trials in China
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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