Cure My Disease

Don't miss your cure!

 Log in / Sign up

Can an AI chatbot help ER doctors spot serious chest pain faster?

NCT ID NCT06493175

Diagnosis Sponsor: Peking University Third Hospital 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Aug 24, 2026 · Last updated Aug 25, 2026 · Updated 1 time

Summary

This trial tests whether an AI tool called MedGuide-V5 can help emergency doctors triage chest pain patients more accurately and efficiently. Adults arriving at the emergency department with chest pain will have their descriptions analyzed by the AI, which suggests a possible diagnosis to help prioritize care. The study compares the AI-assisted diagnosis with the final diagnosis after all tests are completed, and also measures staff satisfaction with the tool.

What this could mean

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

Active substance
An artificial intelligence system (large language model) called MedGuide-V5 that analyzes patient descriptions to suggest a possible diagnosis and help prioritize care.
What this could lead to
If it works, this could make emergency triage faster and more accurate, helping doctors prioritize chest pain patients who need urgent care.
What could go wrong
The AI may not always match the final diagnosis, and its accuracy depends on the quality of patient descriptions. It is also tested in a single hospital setting, so results may not apply everywhere.

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.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

1,189 people

The number who actually took part.

Started

Dec 2023

Finished

Aug 2026

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.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

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. All patients with chest pain entered the emergency triage procedure. 2. patients aged 18 and above. Exclusion Criteria: 1. Patients with severe cognitive impairment or inability to communicate. 2. There are patients who have been explicitly referred to specific departments (for example, some of the 120 transfer patients, who may go directly to the green channel) . 3. Patients with unstable vital signs . 4. Patients with potential medical problems. 5. Is participating in other clinical trials. 6. Failure to follow test procedures. 7. Those who refuse to sign the informed consent form.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for Chest pain are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

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

Contacts and locations

Locations

  • Peking University Third Hospital

    Beijing, Beijing Municipality, China

More trials for these conditions

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