美国心脏协会定性应激灌注图与人工智能辅助的结局预测 - Suppr

Qualitative stress perfusion American Heart Association plot and outcome prediction using artificial intelligence.

作者信息

Alskaf Ebraham, Scannell Cian M, Crawley Richard, Suinesiaputra Avan, Masci PierGiorgio, Young Alistair, Perera Divaka, Chiribiri Amedeo

机构信息

School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom.

Eindhoven University of Technology, Eindhoven, Netherlands.

出版信息

Inform Med Unlocked. 2024;49:101537. doi: 10.1016/j.imu.2024.101537.

DOI:10.1016/j.imu.2024.101537

PMID:39015506

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7616223/

Abstract

摘要

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ea9/7616223/9badf8b971b0/EMS197166-f001.jpg

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Deep learning applications in myocardial perfusion imaging, a systematic review and meta-analysis.深度学习在心肌灌注成像中的应用：一项系统评价与荟萃分析

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Long-term prognostic value of stress perfusion cardiovascular magnetic resonance in patients without known coronary artery disease.无已知冠状动脉疾病患者应激灌注心血管磁共振的长期预后价值。

J Cardiovasc Magn Reson. 2021 Apr 8;23(1):43. doi: 10.1186/s12968-021-00737-0.

Accuracy, uncertainty, and adaptability of automatic myocardial ASL segmentation using deep CNN.基于深度卷积神经网络的自动心肌动脉自旋标记分割的准确性、不确定性和适应性

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The potential for artificial intelligence in healthcare.人工智能在医疗保健领域的潜力。

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Qualitative stress perfusion American Heart Association plot and outcome prediction using artificial intelligence.

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