Natural Language Processing to Adjudicate Heart Failure Hospitalizations in Global Clinical Trials.

ABSTRACT:

Background

Medical record review by a physician clinical events committee is the gold standard for identifying cardiovascular outcomes in clinical trials, but is labor-intensive and poorly reproducible. Automated outcome adjudication by artificial intelligence (AI) could enable larger and less expensive clinical trials but has not been validated in global studies.

Methods

We developed a novel model for automated AI-based heart failure adjudication (Heart Failure Natural Language Processing) using hospitalizations from 3 international clinical outcomes trials. This model was tested on potential heart failure hospitalizations from the DELIVER trial (Dapagliflozin Evaluation to Improve the Lives of Patients With Preserved Ejection Fraction Heart Failure), a cardiovascular outco

SUBMITTER: Marti-Castellote PM 

PROVIDER: S-EPMC11910182 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature