A clinically grounded taxonomy and systematic review of artificial intelligence for cardiovascular diagnosis: From machine learning to multimodal and agentic systems

Zahra Rezaei

doi:10.1016/j.compbiomed.2026.111859

A clinically grounded taxonomy and systematic review of artificial intelligence for cardiovascular diagnosis: From machine learning to multimodal and agentic systems

2026-07-28

0

PRE

AI

Z

Zahra Rezaei

M

Mohammad Amin Amini

Y

Yaser Mike Banad *

DOI：10.1016/j.compbiomed.2026.111859

Original

Original request for help

Save

Abstract

En 中文

• A six-layer taxonomy structures artificial intelligence for heart diagnosis. • Systematic review synthesizes 76 cardiovascular diagnosis studies. • Multimodal diagnosis is mapped across data, models, trust, and maturity. • Evidence synthesis compares validation, generalizability, and readiness. • Emerging agentic systems are separated from clinically validated tools.

A clinically grounded taxonomy and systematic review of artificial intelligence for cardiovascular diagnosis: From machine learning to multimodal and agentic systems

Abstract

Journal

Organization

Cited Papers

Citing Papers