NCT07340762Active, not recruiting
Automated Reports Generation of Cardiovascular Magnetic Resonance Imaging
Multi-step Automated Report Generation of Cardiovascular Magnetic Resonance Imaging Based on Visual Large Language Model
Source: ClinicalTrials.gov · Last updated 21 Jan 2026
Brief summary (registry, in English)
The goal of this observational study is to evaluate the accuracy, completeness, and clinical consistency of large language model-generated cardiac magnetic resonance (CMR) imaging reports compared with expert radiologist reports in patients undergoing routine clinical CMR examinations. The main question(s) it aims to answer are: Can automatically generated CMR reports produced by a large multimodal model accurately reflect key imaging findings and diagnoses when compared with reports written by experienced cardiovascular radiologists? How does the quality of generated reports perform in terms of clinical correctness, completeness, and linguistic clarity, as assessed by quantitative metrics and expert review? If there is a comparison group: Researchers will compare AI-generated CMR reports with ground-truth reports authored by board-certified cardiovascular radiologists to see if the automated system achieves comparable diagnostic accuracy and report quality across different cardiac pathologies. Participants will: Undergo standard-of-care cardiac MRI examinations as part of routine clinical practice. Have their anonymized CMR image data and corresponding radiologist reports retrospectively collected. Contribute data that will be used to generate automated CMR reports, which will then be evaluated against expert reports using objective metrics (e.g., diagnostic agreement, entity-level accuracy) and subjective clinical scoring by radiologists.
- Status (registry)
- Active, not recruiting
- Study type
- Observational
- Enrollment
- 20000 (actual)
- First submitted
- 5 Jan 2026
- Start date
- 1 Oct 2025
- Primary completion date
- 1 Oct 2027
- Lead sponsor
- Chinese Academy of Medical Sciences, Fuwai Hospital
- Diseases
- Hypertrophic cardiomyopathy
- NCT number
- NCT07340762
What you commit to
- Study type: Observational
- Participants enrolled: 20000
- From 1 Oct 2025 to the primary completion date, 1 Oct 2027
- 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.
Other
- Incomplete or corrupted CMR image data.
- Absence of a reference radiologist report.
- Poor image quality that precludes reliable clinical interpretation.
- CMR studies with severe imaging artifacts affecting diagnostic evaluation.
Who the study is looking for
- Patients who underwent clinically indicated cardiac magnetic resonance (CMR) examinations.
- Availability of complete and de-identified CMR image data.
- Availability of corresponding clinical CMR reports authored by experienced cardiovascular radiologists.
- CMR studies acquired using standard clinical imaging protocols.
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 |
|---|---|---|---|
| Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College Coordinator of this site? Confirm its status | Beijing | China | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.