AI takes on heart scans: can it match expert radiologists?
NCT ID NCT07340762
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study is testing whether an artificial intelligence (AI) model can automatically write reports for cardiac MRI scans as accurately as experienced radiologists. Researchers will compare AI-generated reports with those written by experts using 20,000 patient scans. The goal is to see if the AI can correctly identify key findings, but the AI reports are not used for patient care in this study.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- large language model (AI software)
- What this could lead to
- If successful, this could lead to faster, more consistent cardiac MRI reporting, reducing radiologist workload.
- What could go wrong
- This is an observational study, not a treatment trial. The AI reports are not used for patient care, and the technology may not be accurate enough for real-world use.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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20,000 people
The number who actually took part.
- Started
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Oct 2025
- Expected to finish
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Jan 2028
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
The study population consists of patients who underwent routine, clinically indicated cardiac magnetic resonance (CMR) examinations at a medical center,represents a real-world clinical population undergoing cardiac MRI for diagnostic evaluation of various cardiovascular diseases. All CMR studies included in this observational study are retrospectively collected, fully de-identified, and accompanied by corresponding radiologist-authored clinical reports. The study population represents a real-world clinical cohort with a range of cardiac conditions commonly evaluated by CMR.
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * 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. Exclusion Criteria: * 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.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College
Beijing, Beijing Municipality, 100037, China
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Other studies related to the condition(s) this trial covers.