Researchers have developed an AI tool that accurately diagnoses advanced heart failure using cardiac ultrasound and patient health records.
Key Details
- 1AI approach predicts peak VO2, a key advanced heart failure measure, from cardiac ultrasound images and EHR data.
- 2Model trained on 1,000 heart failure patient datasets from NewYork-Presbyterian/Columbia University Irving Medical Center.
- 3Tested on 127 new patients across three separate NewYork-Presbyterian campuses.
- 4Achieved approximately 85% accuracy in identifying high-risk patients, outperforming prior AI models.
- 5Study published March 3, 2026, in npj Digital Medicine by a consortium of Cornell, Columbia, and NewYork-Presbyterian researchers.
- 6Clinical trials and FDA approval are anticipated as next steps.
Why It Matters
This AI tool could simplify and broaden access to advanced heart failure diagnosis, which traditionally requires specialized, less accessible testing. For radiology and cardiology AI professionals, it highlights a practical, collaborative model for deploying imaging AI in clinical care.
Source
EurekAlert
Related News
•EurekAlert
Retrieval-Augmented AI Enhances Reliability in Cancer Care Applications
Retrieval-augmented generation AI models offer increased accuracy and transparency for oncology applications, including imaging support, compared to standard AI tools.
•EurekAlert
AI and Deep Learning Reveal Menopause's Asynchronous Impact on Female Organs
An AI-powered atlas maps how menopause uniquely affects aging in individual female reproductive organs using tissue imaging and gene expression data.
•EurekAlert
AI State-Space Model Enhances Hyperspectral Image Resolution
Researchers introduce PLGMamba, an innovative AI model improving hyperspectral image super-resolution by leveraging local-global spectral feature modeling.