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AI assistant could speed up emergency room diagnoses

NCT ID NCT06902675

Knowledge-focused Sponsor: Rambam Health Care Campus 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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 25, 2026 · Last updated Jul 31, 2026 · Updated 3 times

Summary

This study tests an artificial intelligence system that helps emergency doctors make decisions. The AI looks at patient data from electronic health records and suggests possible diagnoses and treatments. Researchers will check if the AI improves accuracy and reduces time spent in the emergency department. About 20,000 adults will take part at one hospital in Israel.

What this could mean

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

Active substance
Artificial intelligence (large language model) clinical decision support system
What this could lead to
If successful, this could show that AI can help emergency doctors make faster and more accurate decisions, potentially improving patient care and reducing wait times.
What could go wrong
This is an early-stage study that only tests the AI's recommendations against actual outcomes. The AI may not improve care or could give incorrect advice. Results may not apply to other hospitals.

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 100,000 people

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

Started

Jan 2000

Expected to finish

Sep 2026

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

All patients (0-120 years) receiving care in emergency departments (main and pediatric)

Ages

0 to 120 years

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: Patients aged 0 to 120 years presented to the emergency department Exclusion Criteria: None

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Conditions

The condition(s) this trial relates to.

Emergencies nervous system disorder

As listed by the trial registrant

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

Artificial intelligence in medicine Clinical decision-making Electronic health records Emergency department visit Information systems Medical reporting Neurological diseases or conditions

Contacts and locations

Locations

  • Rambam healthcare campus

    Haifa, 3109601, Israel

More trials for these conditions

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