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2022 年核心脏病学家人工智能入门。

2022 Artificial intelligence primer for the nuclear cardiologist.

机构信息

Department of Cardiology, Manchester Heart Institute, Manchester Royal Infirmary, Manchester Heart Centre, Manchester University NHS Foundation Trust, Oxford Road, Manchester, UK.

Institute of Cardiovascular Science, University of Manchester, Manchester, UK.

出版信息

J Nucl Cardiol. 2023 Dec;30(6):2441-2453. doi: 10.1007/s12350-022-03049-7. Epub 2022 Jul 19.

DOI:10.1007/s12350-022-03049-7
PMID:35854041
Abstract

Driven by advances in computing power, the past decade has seen rapid developments in artificial intelligence (AI) which now offers potential enhancements to every aspect of nuclear cardiology workflow including acquisition, reconstruction, segmentation, direct image analysis, and interpretation; as well as facilitating clinical and imaging big-data integration for superior personalized risk stratification. To understand the relevance and potential of AI in their field, this review provides a primer for nuclear cardiologists in 2022. The aim is to explain terminology and provide a summary of key current implementations, challenges, and future aspirations of AI-based enhancements to nuclear cardiology.

摘要

在计算能力的推动下,人工智能 (AI) 在过去十年中取得了飞速发展,现在为核心脏病学工作流程的各个方面提供了潜在的增强,包括采集、重建、分割、直接图像分析和解释;以及为更好的个性化风险分层促进临床和成像大数据的整合。为了了解 AI 在他们领域的相关性和潜力,本综述为 2022 年的核心脏病专家提供了一个入门介绍。目的是解释术语,并总结基于 AI 的核心脏病学增强的当前实现、挑战和未来期望。

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