Artificial Intelligence Applications in Cardio-Oncology: A Comprehensive Review

Overview

Journal Curr Cardiol Rep

Publisher Current Science

Specialty Cardiology & Vascular Diseases

Date 2025 Feb 19

PMID 39969610

Authors

Avirup Guha

Viraj Shah

Tarek Nahle

Shivam Singh

Harikrishnan Hyma Kunhiraman

Fathima Shehnaz

Priyanshu Nain

Omar M Makram

Morteza Mahmoudi

Sadeer Al-Kindi

Anant Madabhushi

Rakesh Shiradkar

Hisham Daoud

Affiliations

Soon will be listed here.

Abstract

Purpose Of Review: This review explores the role of artificial intelligence (AI) in cardio-oncology, focusing on its latest application across problems in diagnosis, prognosis, risk stratification, and management of cardiovascular (CV) complications in cancer patients. It also highlights multi-omics analysis, explainable AI, and real-time decision-making, while addressing challenges like data heterogeneity and ethical concerns.

Recent Findings: AI can advance cardio-oncology by leveraging imaging, electronic health records (EHRs), electrocardiograms (ECG), and multi-omics data for early cardiotoxicity detection, stratification and long-term risk prediction. Novel AI-ECG models and imaging techniques improve diagnostic accuracy, while multi-omics analysis identifies biomarkers for personalized treatment. However, significant barriers, including data heterogeneity, lack of transparency, and regulatory challenges, hinder widespread adoption. AI significantly enhances early detection and intervention in cardio-oncology. Future efforts should address the impact of AI technologies on clinical outcomes, and ethical challenges, to enable broader clinical adoption and improve patient care.

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