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Current Cardiology Reports

Artificial Intelligence Applications in Cardio-Oncology: A Comprehensive Review

Published in:
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
Published in
Current Cardiology Reports | Issue 1/2025

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.

Summary

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.
Title
Artificial Intelligence Applications in Cardio-Oncology: A Comprehensive Review
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
Publication date
01-12-2025
Publisher
Springer US
Published in
Current Cardiology Reports / Issue 1/2025
Print ISSN: 1523-3782
Electronic ISSN: 1534-3170
DOI
https://doi.org/10.1007/s11886-025-02215-w
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This content is intended for healthcare professionals outside of the UK.

Independent Medical Education Grant:
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Learn more Link opens in a new window
Image Credits
Abstract graphic of layered, concentric circular shapes in bright green, pink, blue, and purple on a dark blue background. The rings and segments form a complex radial pattern without text/© Springer Health+ IME