文章：

人工智能在肿瘤患者癌症治疗相关心功能障碍预测与诊断中的应用

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

原文发布日期：11 February 2025

DOI: 10.3390/cancers17040605

类型: Article

开放获取: 是

英文摘要：

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.

摘要翻译： 

心血管疾病与癌症是现代社会发病率和死亡率的主要原因。随着癌症治疗手段的扩展改善了预后，其可能伴随的心脏毒性问题也日益凸显，而癌症幸存者寿命的延长则与心血管疾病患病率的上升密切相关。因此，心脏肿瘤学领域迅速发展，旨在早期识别正在接受癌症治疗或处于生存期的患者的心脏毒性与心脏疾病。人工智能凭借其早期识别心脏疾病的能力，正在彻底改变现代医学。本文全面综述了人工智能在心电图、超声心动图、心脏磁共振成像及核素成像中的具体应用，旨在预测癌症治疗（如化疗、放疗或免疫治疗）背景下的心脏毒性，以期减少早期并发症及心脏副作用。

原文链接：

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