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Can a computer help doctors choose the right blood thinner?

NCT ID NCT07290608

Knowledge-focused Sponsor: ITALO EUGENIO SOUZA GADELHA DE ABREU 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested a decision-support tool called DOACT that helps doctors choose the right blood thinner for patients with blood clots in veins or lungs. Researchers compared how well the tool performed against artificial intelligence models and doctors' own judgment. The goal was to see if the tool could improve accuracy in prescribing these important medications.

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

59 people

The number who actually took part.

Started

Jan 2025

Finished

Oct 2025

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 to 89 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 * Physicians with residency training in Vascular Surgery or official Board Certification in Vascular Surgery. * Currently practicing clinical and/or surgical vascular care in Brazil. * Completed the informed consent process (TCLE) and voluntarily agreed to participate. Exclusion Criteria * Physicians without formal Vascular Surgery residency and without Board Certification. * Physicians not performing vascular clinical or surgical care (e.g., exclusively administrative, academic, or non-assistance roles). * Less than 1 year of professional experience after medical school graduation. * Did not sign or did not fully complete the TCLE. Large Language Models (LLMs) * Inclusion Criteria * Free-access LLMs available to the public at the time of data collection. * All responses generated using the same standardized prompt. * Capable of producing complete, text-based clinical answers relevant to vascular surgery decision-making. Exclusion Criteria * Paid or subscription-based LLMs. * LLMs requiring institutional licenses, restricted access, or proprietary tokens. * Models unable to generate full responses to the standardized prompt.

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Conditions

The condition(s) this trial relates to.

pulmonary embolism thrombophlebitis thrombotic disease venous thromboembolism Venous Thrombosis

As listed by the trial registrant

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

Artificial intelligence Clinical decision support systems Deep vein thrombosis Pulmonary thromboembolisms Superficial thrombophlebitis

Contacts and locations

Locations

  • Irmandade da Santa Casa de Misericórdia de São Paulo

    São Paulo, São Paulo, 01.223-001, Brazil

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