AI language model support for managing heart disease and stroke in primary care
Tests an AI language model helping primary care doctors manage chronic heart disease and stroke.
Plain-language title generated from the registry record
Registry title: Medical Large Language Model-Assisted Diagnosis and Treatment in Primary Care Chronic Disease Management
Key facts
- Where
- Taizhou, ChinaSee the site
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 65 years old?
Source: NCT07740044, who can take part
Where in China
- The Affiliated Taizhou People's Hospital of Nanjing Medical UniversityTaizhou, ChinaNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Jiangsu Taizhou People's Hospital
- Trial code
- NCT07740044
- Record updated
- 31 July 2026
- Original description
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.Read full original descriptionShow less
Verification and Application Study of Medical Large Language Model-Assisted Diagnosis and Treatment in Primary Care Chronic Disease Management: A Randomized Controlled Study
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.
Inclusion: 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.
Exclusion: N/A.