Applications of Artificial Intelligence for the Prediction and Diagnosis of Cancer Therapy-Related Cardiac Dysfunction in Oncology Patients

Overview

Journal Cancers (Basel)

Publisher MDPI

Specialty Oncology

Date 2025 Feb 26

PMID 40002200

Authors

Isabel G Scalia

Girish Pathangey

Mahmoud Abdelnabi

Omar H Ibrahim

Fatmaelzahraa E Abdelfattah

Milagros Pereyra Pietri

Ramzi Ibrahim

Juan M Farina

Imon Banerjee

Balaji K Tamarappoo

Reza Arsanjani

Chadi Ayoub

Affiliations

Soon will be listed here.

Abstract

Cardiovascular diseases and cancer are the leading causes of morbidity and mortality in modern society. Expanding cancer therapies that have improved prognosis may also be associated with cardiotoxicity, and extended life span after survivorship is associated with the increasing prevalence of cardiovascular disease. As such, the field of cardio-oncology has been rapidly expanding, with an aim to identify cardiotoxicity and cardiac disease early in a patient who is receiving treatment for cancer or is in survivorship. Artificial intelligence is revolutionizing modern medicine with its ability to identify cardiac disease early. This article comprehensively reviews applications of artificial intelligence specifically applied to electrocardiograms, echocardiography, cardiac magnetic resonance imaging, and nuclear imaging to predict cardiac toxicity in the setting of cancer therapies, with a view to reduce early complications and cardiac side effects from cancer therapies such as chemotherapy, radiation therapy, or immunotherapy.

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