Determining Efficacy of an Artificial Intelligence-based System for Heart Failure Detection Through Interpretation of Electrocardiograms (DECISION)

NCT07113223 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1968

Last updated 2026-03-31

No results posted yet for this study

Summary

The DECISION trial aims to evaluate the efficacy of an artificial intelligence (AI)-powered system, Willem™, for improving the detection of heart failure (HF) in primary care settings by interpreting electrocardiograms (ECGs). The study seeks to answer whether AI-assisted ECG interpretation enhances diagnostic accuracy and clinical outcomes compared to standard ECG evaluation in patients with suspected HF or those at high risk.

This multicenter, pragmatic, randomized clinical trial involves two groups: patients receiving AI-assisted ECG analysis and those undergoing standard ECG evaluation. The study's primary analysis will compare the diagnostic performance of AI-assisted ECG versus standard ECG using sensitivity, specificity, and predictive value metrics. Secondary analyses will evaluate healthcare resource utilization, clinical outcomes, and usability feedback from healthcare providers. Results will inform the potential integration of AI-assisted ECG in routine primary care workflows for earlier HF detection and better resource allocation.

Conditions

Interventions

DEVICE

Willem™ platform ECG assessment

AI-assisted ECG analysis via the Willem™ platform

Sponsors & Collaborators

  • Fundación para la Investigación Biomédica del Hospital 12 de Octubre

    collaborator UNKNOWN
  • Fundación para la Investigación Biomédica del Hospital Gregorio Maranon

    collaborator OTHER
  • Fundación para la Investigación e Innovación Biosanitaria de Atención Primaria de la Comunidad de Madrid (FIIBAP)

    collaborator UNKNOWN
  • Instituto de Investigación Marqués de Valdecilla

    collaborator OTHER
  • Karolinska Institutet

    collaborator OTHER
  • Region Stockholm

    collaborator OTHER_GOV
  • AstraZeneca

    collaborator INDUSTRY
  • Servicio Madrileno De Salud (SERMAS)

    collaborator UNKNOWN
  • Idoven 1903 S.L.

    lead INDUSTRY

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-07-23
Primary Completion
2026-07-31
Completion
2026-09-30

Countries

  • Spain
  • Sweden

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07113223 on ClinicalTrials.gov