Artificial Intelligence Applications in Cardio-Oncology: A Comprehensive Review.

IF 3.1 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Current Cardiology Reports Pub Date : 2025-02-19 DOI:10.1007/s11886-025-02215-w
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
{"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","doi":"10.1007/s11886-025-02215-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose of review: </strong>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.</p><p><strong>Recent findings: </strong>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.</p>","PeriodicalId":10829,"journal":{"name":"Current Cardiology Reports","volume":"27 1","pages":"56"},"PeriodicalIF":3.1000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Cardiology Reports","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11886-025-02215-w","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Current Cardiology Reports
Current Cardiology Reports CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
6.20
自引率
2.70%
发文量
209
期刊介绍: The aim of this journal is to provide timely perspectives from experts on current advances in cardiovascular medicine. We also seek to provide reviews that highlight the most important recently published papers selected from the wealth of available cardiovascular literature. We accomplish this aim by appointing key authorities in major subject areas across the discipline. Section editors select topics to be reviewed by leading experts who emphasize recent developments and highlight important papers published over the past year. An Editorial Board of internationally diverse members suggests topics of special interest to their country/region and ensures that topics are current and include emerging research. We also provide commentaries from well-known figures in the field.
期刊最新文献
Angiographic Anatomy of the Left Coronary Veins: Beyond Conventional Cardiac Resynchronization Therapy. Anti-inflammatory Therapies for Ischemic Heart Disease. Artificial Intelligence Applications in Cardio-Oncology: A Comprehensive Review. Fluoroscopy-free Transcatheter Atrial Septal Defect Closure: A Simplified Approach. Life's Essential 8 and Cardiovascular Disease in Breast Cancer Survivors.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1