NCT07504367Recruiting
Large Language Models Assist in Tumor MDT
Evaluating Large Language Models as Decision Support Agents in Pan-Cancer Tumor Boards: A Randomized Controlled Trial
Source: ClinicalTrials.gov · Last updated 31 Mar 2026
Brief summary (registry, in English)
Multidisciplinary teams (MDTs) represent the gold standard for personalized tumor treatment, but they are limited by medical resources and accessibility Limitation. Although large language models (LLMs) have shown promise in medical reasoning, their multidisciplinary practicality in pan-cancer MDTs has not been fully explored. In the early stage of this project, LLMs with high clinical application efficacy were identified through benchmark tests, and an open-label randomized controlled study (RCT) was conducted based on these LLMs. The research aims to explore whether AI-assisted assistance can enhance the accuracy and writing efficiency of MDT diagnosis and treatment reports. This study intends to prospectively collect the diagnosis and treatment information of 20 patients and MDT diagnosis and treatment information. It is planned to recruit 40 junior doctors. Doctors in the intervention group will use LLM to assist in the writing of MDT reports, while doctors in the control group will use traditional information retrieval methods for the writing of MDT reports. Three clinical experts ultimately used a standardized Likert scale to conduct comprehensive and multidisciplinary scoring of the MDT reports of the intervention group and the control group. This study quantitatively compared the diagnosis and treatment quality and efficiency of the MDT AI-assisted model and the traditional model to verify the application potential of large language models in assisting tumor diagnosis and treatment.
- Status (registry)
- Recruiting
- Study type
- Interventional
- Enrollment
- 60 (estimated)
- First submitted
- 11 Mar 2026
- Start date
- 1 Jan 2026
- Primary completion date
- 31 Dec 2026
- Lead sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
- Diseases
- Lung cancer, Colorectal cancer, Liver and biliary tract cancer, Gastric and esophageal cancer
- NCT number
- NCT07504367
What you commit to
- Study type: Interventional
- Planned participants: 60
- From 1 Jan 2026 to the primary completion date, 31 Dec 2026
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Prior treatment
- Have participated in the previous diagnosis and treatment of any one of the 20 cases included in the study.
Who the study is looking for
- A junior doctor with a practicing physician qualification certificate.
- Oncologists, surgeons, radiation oncologists, radiologists and pathologists with 3 to 5 years of clinical experience.
- Age: 25 to 33 years old, gender not limited.
- During the research period, one can participate for no less than 10 hours.
- Agree to participate in this research and sign the informed consent form.
Age in the registry: 25 years to 33 years · Sex: All · Accepts healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Sun Yat Sen Memorial Hospital of Sun Yat sen University Coordinator of this site? Confirm its status | Guangzhou | China | Recruiting |
This page is information, not medical advice. Discuss any trial with your doctor.