Plain-English translation of NCT06588452 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers want to know if an AI system called RECTIFIER can screen heart failure patients for clinical trials as well as or better than manual review by study staff. This trial is testing whether the AI approach is faster, more accurate, and more efficient than the traditional method of having humans review patient records one by one.
Screening patients for clinical trials is time-consuming and expensive, and human reviewers can make mistakes. This study exists to see if artificial intelligence can make the screening process faster and more reliable while still finding the right patients.
You likely qualify if…
You likely don't qualify if…
Your medical records will be reviewed—either by study staff manually or by an AI system followed by staff review—to see if you qualify for a larger heart failure treatment trial. You won't need to do anything active; the researchers will review your existing electronic health records to determine eligibility. This is part of a screening process to potentially enroll you in another heart failure study called COPILOT-HF.
AI-generated summary from trial data · Jul 10, 2026 · Not medical advice
United States
Sponsor
Brigham and Women's Hospital
Enrollment target
~4,500 participants
Started
March 2024
Primary completion
September 2024
This trial's estimated completion date has passed — the record may not be fully up to date.
Age range
18 Years – 90 Years
Last updated on clinicaltrials.gov in September 2024.
Reach out to the team running this trial. Response times vary — some teams are faster than others.
Central contact
Ozan Unlu, MD
Brigham and Women's Hospital
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first — no email needed to get started.