{"title":"人工智能在心脏肿瘤学中的应用综述","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":"{\"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}","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}
Artificial Intelligence Applications in Cardio-Oncology: A Comprehensive Review.
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.
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.
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