# OPTimising a Screening Program to Detect Pacemaker-associated Heart Failure Using Artificial Intelligence

> **NCT07372651** · — · ENROLLING_BY_INVITATION · sponsor: **University of Leeds** · enrollment: 150 (estimated)

## Conditions studied

- Heart Failure
- Pacemaker

## Interventions

_None listed._

## Key facts

- **NCT ID:** NCT07372651
- **Lead sponsor:** University of Leeds
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** ENROLLING_BY_INVITATION
- **Start date:** 2025-10-07
- **Primary completion:** 2026-09
- **Final completion:** 2026-09
- **Target enrollment:** 150 (ESTIMATED)
- **Last updated:** 2026-01-28

## Collaborators

- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07372651

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07372651, "OPTimising a Screening Program to Detect Pacemaker-associated Heart Failure Using Artificial Intelligence". Retrieved via AI Analytics 2026-06-02 from https://api.ai-analytics.org/clinical/NCT07372651. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*