IF 3 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Luiza Camelia Nechita, Dana Tutunaru, Aurel Nechita, Andreea Elena Voipan, Daniel Voipan, Ancuta Elena Tupu, Carmina Liana Musat
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引用次数: 0

摘要

由于心脏毒性治疗导致癌症患者心血管并发症的发生率越来越高,因此需要先进的监测和预测解决方案。心脏肿瘤学是一个不断发展的跨学科领域,它通过整合人工智能(AI)和智能心脏设备来应对这些挑战。本综述探讨了人工智能(AI)和智能心脏设备在心肿瘤学中的整合,强调了它们在改善心血管风险评估、早期检测和实时监控心脏毒性方面的作用。人工智能驱动的技术,包括机器学习(ML)和深度学习(DL),可加强风险分层,优化治疗决策,并为有心血管风险的肿瘤患者提供个性化护理支持。可穿戴心电图贴片、生物传感器和集成人工智能的植入式设备可实现连续的心脏监测和预测分析。虽然这些进步具有巨大的潜力,但必须解决数据标准化、监管审批和公平获取等挑战。进一步的研究、临床验证和多学科合作对于将人工智能驱动的解决方案全面融入心脏肿瘤学实践和改善患者预后至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI and Smart Devices in Cardio-Oncology: Advancements in Cardiotoxicity Prediction and Cardiovascular Monitoring.

The increasing prevalence of cardiovascular complications in cancer patients due to cardiotoxic treatments has necessitated advanced monitoring and predictive solutions. Cardio-oncology is an evolving interdisciplinary field that addresses these challenges by integrating artificial intelligence (AI) and smart cardiac devices. This comprehensive review explores the integration of artificial intelligence (AI) and smart cardiac devices in cardio-oncology, highlighting their role in improving cardiovascular risk assessment and the early detection and real-time monitoring of cardiotoxicity. AI-driven techniques, including machine learning (ML) and deep learning (DL), enhance risk stratification, optimize treatment decisions, and support personalized care for oncology patients at cardiovascular risk. Wearable ECG patches, biosensors, and AI-integrated implantable devices enable continuous cardiac surveillance and predictive analytics. While these advancements offer significant potential, challenges such as data standardization, regulatory approvals, and equitable access must be addressed. Further research, clinical validation, and multidisciplinary collaboration are essential to fully integrate AI-driven solutions into cardio-oncology practices and improve patient outcomes.

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来源期刊
Diagnostics
Diagnostics Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry
CiteScore
4.70
自引率
8.30%
发文量
2699
审稿时长
19.64 days
期刊介绍: Diagnostics (ISSN 2075-4418) is an international scholarly open access journal on medical diagnostics. It publishes original research articles, reviews, communications and short notes on the research and development of medical diagnostics. There is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodological details must be provided for research articles.
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