Explainable AI for Predicting Hospital Admissions in Heart Failure: ExplAIn-HF

Sponsor
Medisch Spectrum Twente
Study ID
NCT07689760
Status
Not Yet Recruiting

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Conditions

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Not accepted

Study Details

The goal of this observational study is to develop and validate an XAI based model that predicts HF events and identifies modifiable con-tributing factors, and to evaluate the added value of integrating high frequency smartwatch data compared to usual care in patients with heart failure. The main objectives of the study are: 1. To develop and validate an XAI based model that predicts HF events and identifies modifiable contributing factors, and to evaluate the added value of integrating high frequency smartwatch data compared to usual care. In the Netherlands usual care includes remote monitoring of heartrate, blood pressure, weight and symptoms. 2. To include insights of the smartwatch into activity patterns, impact on quality of life (KCCQ-12), and patient satisfaction with net promoter score (NPS). Participants will wear a smartwatch for six months and perform an I-lead ecg with the smartwatch weekly.

Key Dates

First listed
Jul 8, 2026
Start date
Jul 31, 2026
Status verified
Jun 2026
Primary completion
Dec 31, 2027
Completion
Dec 31, 2027

Study Design

Enrollment
95 participants (estimated)

Arms

  • Arm: Heart failure patients

Primary Outcome Measure

Heart failure (HF) event [ Time Frame: From enrollment to the end of follow-up at 6 months ]

Central Contacts

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