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AI tool aims to catch hidden hepatitis c and HIV in ERs

NCT ID NCT07406490

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 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.
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study will test a new computer tool that helps emergency doctors spot patients at high risk for hepatitis C and HIV. The tool uses a machine learning algorithm to analyze patient data and pops up an alert for the doctor. Researchers will compare this targeted screening with universal screening and standard care to see which finds more undiagnosed cases. About 6,466 adults aged 18-79 will take part.

What this could mean

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

Active substance
machine learning algorithm-based screening tool
What this could lead to
If successful, this tool could help emergency departments identify more people with undiagnosed hepatitis C and HIV, leading to earlier treatment.
What could go wrong
This is an observational study, not a treatment trial. The tool may not work as well in other hospitals or may not significantly increase diagnosis rates.

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 6,466 people

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

Expected to start

Jul 2026

An estimate. Start dates often move.

Expected to finish

Jul 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

Patients visiting UF Health emergency departments.

Ages

18 to 79 years

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: * 18-79 years of age Exclusion Criteria: * \< 18 years of age * Medically unstable

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

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

How to take part

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

  1. The places running it

    3 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

  • UF Health Jacksonville Emergency Room

    Jacksonville, Florida, 32209, United States

  • UF Health North Emergency Room

    Jacksonville, Florida, 32218, United States

  • UF Health Shands Emergency Room / Trauma Center

    Gainesville, Florida, 32608, United States

More trials for these conditions

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