AI in Adipose Imaging: Revolutionizing Visceral Adipose Tissue, Ectopic Fat, and Cardiovascular Risk Assessment.

IF 5.2 2区 医学 Q1 PERIPHERAL VASCULAR DISEASE
Sneha R Kandi, Rohan Khera, Sanjay Rajagopalan, Ian J Neeland
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引用次数: 0

Abstract

Purpose of review: This review explores the role of artificial intelligence (AI) in visceral adipose tissue (VAT) and ectopic fat imaging. It aims to evaluate how AI may be used to enhance the efficiency and accuracy of cardiovascular disease (CVD) risk assessment. It addresses key questions regarding AI's capabilities in risk prediction, segmentation, and integration with large volume data for CVD risk assessment.

Recent findings: Recent studies demonstrate that AI, powered by deep learning models, significantly improve VAT and ectopic fat segmentation. AI can also be used to facilitate early detection of cardiometabolic risks and allows integration of imaging with clinical data for a more personalized approach to medicine. Emerging applications include AI-enabled telehealth and continuous monitoring through wearable technologies. AI is transforming VAT and ectopic fat imaging by enabling more precise, personalized, and scalable assessments of fat distribution and cardiovascular risk. While challenges remain, such as model interpretability, future research will likely focus on refining algorithms and expanding AI's clinical applications, potentially redefining obesity and CVD risk management.

人工智能在脂肪成像:革命性的内脏脂肪组织,异位脂肪和心血管风险评估。
综述目的:本文综述了人工智能(AI)在内脏脂肪组织(VAT)和异位脂肪成像中的作用。它旨在评估如何使用人工智能来提高心血管疾病(CVD)风险评估的效率和准确性。它解决了人工智能在风险预测、分割和与CVD风险评估的大量数据集成方面的关键问题。最近的发现:最近的研究表明,由深度学习模型驱动的人工智能可以显著改善VAT和异位脂肪分割。人工智能还可用于促进心脏代谢风险的早期检测,并允许将成像与临床数据相结合,以实现更个性化的医疗方法。新兴应用包括支持人工智能的远程医疗和通过可穿戴技术进行的持续监测。人工智能通过实现更精确、个性化和可扩展的脂肪分布和心血管风险评估,正在改变VAT和异位脂肪成像。尽管挑战依然存在,比如模型的可解释性,但未来的研究可能会集中在改进算法和扩大人工智能的临床应用上,可能会重新定义肥胖和心血管疾病风险管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.00
自引率
3.40%
发文量
87
审稿时长
6-12 weeks
期刊介绍: The aim of this journal is to systematically provide expert views on current basic science and clinical advances in the field of atherosclerosis and highlight the most important developments likely to transform the field of cardiovascular prevention, diagnosis, and treatment. We accomplish this aim by appointing major authorities to serve as Section Editors who select leading experts from around the world to provide definitive reviews on key topics and papers published in the past year. We also provide supplementary reviews and commentaries from well-known figures in the field. 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.
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