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AI trained to spot dangerous chest pain faces its biggest test yet

NCT ID NCT07829536

NEW Diagnosis Sponsor: Peking University Health Science Center Source: ClinicalTrials.gov ↗

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
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Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Sep 21, 2026 · Last updated Sep 21, 2026

Summary

Researchers are testing how well an artificial intelligence system called Zhunxin Agent can identify serious causes of acute chest pain in emergency departments. The study includes adults who arrive with chest pain or related symptoms and receive routine care, including an electrocardiogram. The AI analyzes routinely collected clinical data in silent mode, meaning its predictions are hidden from treating clinicians and do not affect decisions, tests, or treatment. Researchers then compare the AI's classifications with the final diagnoses made through standard medical care.

What this could mean

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

Active substance
Zhunxin Agent, an artificial intelligence system that assesses emergency chest pain
What this could lead to
If it works, the system could help emergency doctors spot heart attacks, aortic dissection, and pulmonary embolism faster and more consistently. It might also support triage in busy departments where specialist review is limited.
What could go wrong
The system runs silently and never guides treatment, so the study cannot show that it improves patient outcomes. Its accuracy may vary across hospitals, and a wrong prediction in real use could delay care for a dangerous cause of chest pain.

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

About 10,000 people

The number the study aims to enrol. It can still change while the study runs.

Expected to start

Sep 2026

An estimate. Start dates often move.

Expected to finish

Oct 2030

An estimate. End dates often move.

Lead sponsor

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 will consist of consecutive participants presenting with acute chest pain or symptoms suggestive of an acute chest pain condition to the emergency departments of participating hospitals during the prospective silent-deployment period. Participants will receive routine clinical care, while Zhunxin Agent will operate in the background without providing its predictions to treating clinicians.

Ages

18 years and older

Sex

Anyone

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: * Participants aged 18 years or older. * Participants presenting to a participating emergency department with acute chest pain, chest discomfort, or other symptoms that prompt clinical evaluation for an acute chest pain-related condition. * Participants undergoing an electrocardiogram as part of routine clinical care during the index emergency department encounter. * Participants with at least one electrocardiogram that can be processed by Zhunxin Agent during the index emergency department encounter. * Participants with the routinely collected clinical information required for Zhunxin Agent to generate a valid prediction. * Participants presenting to a participating study site during the prospective study period. Exclusion Criteria: * Participants whose emergency department presentation does not involve evaluation for acute chest pain. * Participants without an electrocardiogram obtained during the index emergency department encounter. * Participants for whom the electrocardiogram or other required input data are missing, corrupted, technically inaccessible, or otherwise unusable such that Zhunxin Agent cannot generate a valid prediction. * Duplicate records corresponding to the same emergency department encounter. * Participants whose clinical data cannot be used for research because of withdrawal of consent, refusal of data use where applicable, or other ethical, institutional, or regulatory restrictions.

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Conditions

The condition(s) this trial relates to.

Chest Pain

As listed by the trial registrant

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

Chest pain Chest pain center

How to take part

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  1. The official record

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