Research on the Development and Validation of Personalized Exercise Prescription System for Breast Cancer Patients Based on Large Language Models
11 augusti 2026 uppdaterad av: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
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.
Studieöversikt
Status
Har inte rekryterat ännu
Betingelser
Studietyp
Observationell
Inskrivning (Beräknad)
40
Kontakter och platser
Det här avsnittet innehåller kontaktuppgifter för dem som genomför studien och information om var denna studie genomförs.
Studieorter
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Guangdong
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Guangzhou, Guangdong, Kina, 510000
- Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University
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Kontakt:
- jianli Zhao
- Telefonnummer: 15920589334
- E-post: zhaojianli1988@126.com
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Kontakt:
- E-post: zhaojianli1988@126.com
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Deltagandekriterier
Forskare letar efter personer som passar en viss beskrivning, så kallade behörighetskriterier. Några exempel på dessa kriterier är en persons allmänna hälsotillstånd eller tidigare behandlingar.
Urvalskriterier
Åldrar som är berättigade till studier
- Vuxen
- Äldre vuxen
Tar emot friska volontärer
Nej
Testmetod
Icke-sannolikhetsprov
Studera befolkning
Patients with breast cancer who have completed primary surgery and entered the postoperative rehabilitation stage at Sun Yat-sen Memorial Hospital, Sun Yat-sen University (Guangzhou, China).All participants receive individualized exercise prescriptions generated by large language models under physician supervision and approval, and their feedback on the feasibility of these prescriptions is collected.
Beskrivning
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.
- The patients had clear clinical diagnosis and complete electronic medical record information (including demographic information, tumor stage and classification, treatment history, physical performance evaluation data, etc.).
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.
Studieplan
Det här avsnittet ger detaljer om studieplanen, inklusive hur studien är utformad och vad studien mäter.
Hur är studien utformad?
Designdetaljer
Kohorter och interventioner
Grupp / Kohort |
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Postoperative breast cancer patients receiving LLM-based exercise prescription evaluation
Postoperative breast cancer patients at Sun Yat-sen Memorial Hospital will have clinical and physical data collected.
Each patient receives an exercise prescription generated by a fine-tuned large language model (LLM)-based decision support system and provides feedback on its feasibility.
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Vad mäter studien?
Primära resultatmått
Resultatmått |
Åtgärdsbeskrivning |
Tidsram |
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Overall Quality Score of Exercise Prescriptions Based on a Five-Dimensional Expert Evaluation Framework
Tidsram: From enrollment to completion of prescription evaluation at 1 week
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Each exercise prescription will be independently evaluated by six multidisciplinary experts across five dimensions: scientific rationale, personalization, comprehensiveness, safety, and feasibility.
Each dimension will be rated on a 5-point Likert scale from 1 to 5. The five dimension scores will be summed to generate an overall quality score ranging from 5 to 25, with higher scores indicating better overall prescription quality.
For each prescription, the mean overall score across the six experts will be used for analysis.
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From enrollment to completion of prescription evaluation at 1 week
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Sekundära resultatmått
Resultatmått |
Åtgärdsbeskrivning |
Tidsram |
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Subgroup-Specific Scientific Rationale and Safety Scores of Model-Generated Exercise Prescriptions
Tidsram: From enrollment to completion of prescription evaluation at 1 week
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Model performance will be evaluated across predefined subgroups based on age, breast cancer stage, molecular subtype, surgical procedure, and treatment modality.
Scientific rationale and safety will each be rated on a 1-5 Likert scale, with higher scores indicating better performance.
Differences across models and subgroups will be assessed using two-way ANOVA or generalized linear models, including interaction terms between model type and patient characteristics.
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From enrollment to completion of prescription evaluation at 1 week
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Samarbetspartners och utredare
Det är här du hittar personer och organisationer som är involverade i denna studie.
Studieavstämningsdatum
Dessa datum spårar framstegen för inlämningar av studieposter och sammanfattande resultat till ClinicalTrials.gov. Studieposter och rapporterade resultat granskas av National Library of Medicine (NLM) för att säkerställa att de uppfyller specifika kvalitetskontrollstandarder innan de publiceras på den offentliga webbplatsen.
Studera stora datum
Studiestart (Beräknad)
15 september 2026
Primärt slutförande (Beräknad)
1 juli 2027
Avslutad studie (Beräknad)
31 december 2027
Studieregistreringsdatum
Först inskickad
11 augusti 2026
Först inskickad som uppfyllde QC-kriterierna
11 augusti 2026
Första postat (Faktisk)
17 augusti 2026
Uppdateringar av studier
Senaste uppdatering publicerad (Faktisk)
17 augusti 2026
Senaste inskickade uppdateringen som uppfyllde QC-kriterierna
11 augusti 2026
Senast verifierad
1 augusti 2026
Mer information
Termer relaterade till denna studie
Ytterligare relevanta MeSH-villkor
Andra studie-ID-nummer
- SYSKY-2025-786-02
Läkemedels- och apparatinformation, studiedokument
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Nej
Studerar en amerikansk FDA-reglerad produktprodukt
Nej
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