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AI reads heart patient records faster than doctors?

NCT ID NCT07499830

Knowledge-focused Sponsor: China National Center for Cardiovascular Diseases Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tested an AI system that reads medical records of 308 heart disease patients and pulls out key information like test results and diagnosis types. The AI's accuracy was compared to that of seven doctors. The goal was to see if AI can help make clinical data collection faster and more consistent.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this AI workflow could speed up and standardize how heart disease data is collected from medical records, making research and care more efficient.
What could go wrong
This is a small, completed study testing a tool, not a treatment. The AI may not work as well in other hospitals or with different types of records.

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

308 people

The number who actually took part.

Started

Feb 2026

Finished

Mar 2026

Lead sponsor

A government agency

The lead sponsor is a government body.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

he study population consists of 308 patients diagnosed with various subtypes of coronary artery disease (CAD). The cohort is derived from two major clinical studies: the AIM-CHD study (for pilot testing and prompt optimization) and the SMART-CHD study (for internal validation), both conducted at Fuwai Hospital. Additionally, an external validation cohort is included, comprising patients from 8 independent clinical sub-centers across China to ensure geographical and institutional diversity. The population covers a spectrum of CAD presentations, including Unstable Angina (UA), STEMI, NSTEMI, and Chronic Coronary Syndrome (CCS), providing a robust dataset for evaluating AI-driven diagnostic and data extraction performance.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show 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: 1. Patients aged 18 years and older. 2. Clinical records of patients who were previously enrolled in the AIM-CHD (for the pilot/prompt optimization set) or SMART-CHD (for the internal validation cohort) studies. 3. Patients diagnosed with, or suspected of having, coronary artery disease (CAD), including subtypes: Unstable Angina (UA), STEMI, NSTEMI, and Chronic Coronary Syndrome (CCS). Exclusion Criteria: 1. Clinical records with severe data fragmentation or missing more than 50% of the key clinical indicators. 2. Handwritten medical records or low-quality scans that are illegible for Optical Character Recognition (OCR) processing. 3. Duplicate records or records with conflicting "Gold Standard" labels that cannot be reconciled by the expert committee.

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Conditions

The condition(s) this trial relates to.

acute myocardial infarction coronary artery disorder intermediate coronary syndrome ST-elevation myocardial infarction

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Artificial intelligence (AI) Coronary artery disease Data collection

Contacts and locations

Locations

  • Fuwai Hospital

    Beijing, 100037, China

More trials for these conditions

Other studies related to the condition(s) this trial covers.