New computer models aim to spot hidden heart rhythm problems

NCT ID NCT02997254

Recruiting now Diagnosis Sponsor: Stanford University Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This Stanford study is testing computer algorithms to better map the heart's electrical activity in people with atrial fibrillation (AF), a common heart rhythm disorder. Researchers will compare different methods to see which best identifies problem areas in the heart. The study involves 1,000 adults aged 21-80 who are already scheduled for a procedure to treat AF. The goal is to improve diagnosis and guide treatment, not to test a new drug or device.

What this could mean

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

What this could lead to: If successful, this could lead to better tools for doctors to identify and treat the source of atrial fibrillation during ablation procedures.
What could go wrong: This is an observational study, not a treatment trial. The algorithms may not prove accurate enough in practice, and results may not apply to all patients.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

Arrhythmias, Cardiac atrial fibrillation cardiac rhythm disease

As listed by the trial registrant

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

ABNORMAL HEART RHYTHMS ATRIAL FIBRILLATION

Contacts and locations

Locations

Stanford University
RECRUITING

Stanford, California, 94305, United States

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