Medical Large Language Model-Assisted Diagnosis and Treatment in Primary Care Chronic Disease Man… (NCT07740044) | Clinical Trial Compass
Not Yet RecruitingNot Applicable
Medical Large Language Model-Assisted Diagnosis and Treatment in Primary Care Chronic Disease Management
China20 participantsStarted 2026-08-17
Plain-language summary
This study aims to explore the feasibility of using medical large language models to assist in chronic disease management. By setting up experimental and control group interventions and having experts blindly evaluate anonymized cases, it compares different management approaches in chronic disease care, verifying the scientific basis, effectiveness, and potential for broader use of medical large language models in supporting chronic disease management.
Who can participate
Age range
18 Years – 65 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Inclusion criteria
. Work experience of 3 years or more;
. Able to complete the case assessment tasks required by the study;
. Have a practicing doctor qualification;
. Work at a township health center or community health service center;
. Voluntarily participate in the study and sign the informed consent form.
Questions worth asking your doctor
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
1This trial uses a medical AI large language model to help diagnose and manage chronic heart conditions like coronary artery disease, atrial fibrillation, heart failure, and stroke — how does that actually work in practice, and would an AI system be involved in making decisions about my care if I joined?
2The trial is listed as 'not yet recruiting,' so how soon do you think it might open to patients, and would it make sense for me to start standard treatment now rather than waiting to see if I qualify?
3The main thing this trial is measuring is 'expert overall scores,' which sounds like doctors rating how well the AI performs — does that mean the focus is more on evaluating the AI tool than on directly improving my health outcomes?
4Since this is listed as Phase NA, which often applies to non-drug studies, what are the potential risks or downsides for me personally if an AI-assisted recommendation turned out to be different from what a doctor alone would recommend?
5Given that this trial is being done in a primary care setting, do you think my condition is complex enough that I'd be better served staying with specialist care rather than a primary care AI-assisted approach?
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
Questions for the trial coordinator
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
What they're measuring
1
expert overall scores
Timeframe: through study completion, an average of 3 months.