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Proactive Risk Evaluation for Cardiac Implantable Electronic Device Strategy Using AI-ECG

Evaluation of an Artificial Intelligence-Enhanced Electrocardiogram Strategy Versus Standard Care to Identify Patients Requiring Cardiac Implantable Electronic Devices: A Randomized Controlled Trial

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07217236
Acronym
PRECISE-AI
Enrollment
11492
Registered
2025-10-15
Start date
2025-11-01
Completion date
2026-10-31
Last updated
2025-12-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Artificial Intelligence (AI), Cardiac Implantable Electrical Devices, Conduction Disorder of the Heart

Brief summary

The goal of this clinical trial is to learn whether an artificial intelligence-enhanced electrocardiogram (AI-ECG) strategy improves timely intervention of patients requiring cardiac implantable electronic devices (CIEDs), compared with standard clinical care.

Detailed description

This is a randomized controlled trial designed to evaluate the impact of an AI-ECG strategy on the identification of patients requiring CIEDs. The ECGs of eligible participants will be analyzed by a previously validated deep learning algorithm. Those classified as high-risk by the AI-ECG system will be allocated at random into either the intervention group or the control group. In the intervention group, the physicians will be alerted by the AI-ECG system, and the participants will be proactively contacted to receive ambulatory continuous ECG monitoring for up to 7 days. In the control group, the participants will continue with usual clinical care, and treating physicians will not have access to the AI-ECG results before the end of this study. To ensure accuracy, the reference standards for device indications will be performed by a panel of experienced cardiologists without access to the AI-generated reports.

Interventions

DIAGNOSTIC_TESTAI-ECG driven ECG monitoring

Participants identified as high-risk for CIED implantation by the AI-ECG system will receive a continuous cardiac rhythm monitor for up to 7 days.

Sponsors

National Defense Medical Center, Taiwan
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SCREENING
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
65 Years to 90 Years
Healthy volunteers
No

Inclusion criteria

* At least one 12-lead ECG within 1 year

Exclusion criteria

* Diagnosis of sick sinus syndrome * Diagnosis of high-grade or complete atrioventricular block * Diagnosis of ventricular tachycardia or ventricular fibrillation * Post CIED implant * Heart rate below 40 beats per minute by 12-lead ECG

Design outcomes

Primary

MeasureTime frameDescription
CIED implantationWithin 180 days after randomizationThe number of participants who undergo CIED implantation within the study period. The CIEDs include conventional transvenous pacemakers, leadless pacemakers, and implantable cardioverter-defibrillators (encompassing transvenous, subcutaneous, and extravascular systems).

Secondary

MeasureTime frameDescription
Number of Complete Atrioventricular BlockWithin 90 days after randomization
Number of Sick Sinus SyndromeWithin 90 days after randomization
Number of High-Grade Atrioventricular BlockWithin 90 days after randomization
Adverse Events Related to Continuous ECG MonitoringWithin 90 days after randomization.The number of adverse events associated with continuous ECG monitoring, including mild to moderate skin irritation, contact dermatitis, or discomfort at the site of patch application, as well as other procedure-related minor complications arising from extended ECG monitoring.
Number of CIED-Related ComplicationsWithin 90 days after randomization.
Number of Ventricular ArrhythmiaWithin 90 days after randomization

Countries

Taiwan

Contacts

Primary ContactChin Lin
xup6fup0629@gmail.com+886-2-8792-3100
Backup ContactWen-Yu Lin
salmon.lin1019@gmail.com+886-2-87923311

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026