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Can AI catch dangerous drug reactions before doctors do?

NCT ID NCT07808866

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 study
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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 09, 2026 · Last updated Sep 10, 2026 · Updated 1 time

Summary

Researchers are building a multi-agent AI model that predicts adverse drug reactions using de-identified historical medical records. The study checks how well the model identifies known reactions and compares its decisions with those of clinical physicians. No new treatments or interventions are given to patients; only existing data is analyzed.

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 the model works, hospitals could flag dangerous drug reactions earlier and support doctors making prescribing decisions.
What could go wrong
This study only analyzes historical records, so the model may not perform the same way in live clinical settings. AI predictions can also miss rare reactions or reflect biases in the original data.

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 20,000 people

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

Started

Jun 2026

Expected to finish

Dec 2027

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

This study includes two types of research subjects: Retrospective de-identified adverse drug reaction (ADR) medical records: A total of 253 ADR consultation cases covering anti-infectives, cardiovascular agents, anti-tumor drugs, central nervous system drugs and digestive system drugs. Each case contains complete medical history, medication records, ADR occurrence process and clinical outcome data, as well as at least one clinically confirmed definite ADR event. Clinical evaluators: 20 licensed physicians or pharmacists holding intermediate or higher professional titles, with clinical pharmacy practice and regular participation in hospital ADR monitoring and consultation work.

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

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: * Cases shall involve drug categories including anti-infectives, cardiovascular agents, anti-tumor drugs, central nervous system drugs, digestive system drugs, etc. Each case must contain at least one definite adverse drug reaction (ADR) event, with complete supporting documentation (medical history, medication history, ADR occurrence process, and clinical outcome). Exclusion Criteria: * Cases with incomplete supporting documentation lacking medical history, medication history, ADR occurrence process or clinical outcome. * Cases only with suspected or possible ADRs without definite clinical confirmation.

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Conditions

The condition(s) this trial relates to.

Drug-Related Side Effects and Adverse Reactions

As listed by the trial registrant

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

Adverse drug reactions Clinical decision support

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    2 sites. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • Peking University Third Hospital

    RECRUITING

    Beijing, Beijing Municipality, China

  • Peking University Third Hospital

    NOT_YET_RECRUITING

    Beijing, China

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