DOACT Algorithm Versus AI-Based Decision Models in Oral Anticoagulant Therapy for Vascular Patients (NCT07290608) | Clinical Trial Compass
CompletedNot Applicable
DOACT Algorithm Versus AI-Based Decision Models in Oral Anticoagulant Therapy for Vascular Patients
Brazil59 participantsStarted 2025-01-20
Plain-language summary
Study using a decision algorithm for the application of an oral anticoagulant calculator in vascular diseases, aimed at validating a clinical decision-support tool for conditions such as deep vein thrombosis, superficial thrombophlebitis, and pulmonary thromboembolism.
Who can participate
Age range18 Years – 89 Years
SexALL
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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.
What they're measuring
1
Accuracy of the DOACT Algorithm in Guiding Oral Anticoagulant Therapy