U.S., July 9 -- ClinicalTrials.gov registry received information related to the study (NCT07689760) titled 'Explainable AI for Predicting Hospital Admissions in Heart Failure: ExplAIn-HF' on July 01.

Brief Summary: 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 t...