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Performance of AI-Enabled Electrocardiogram in the Prediction of Metabolic Dysfunction–Associated Steatotic Liver Disease
Clinical Gastroenterology and Hepatology ( IF 11.6 ) Pub Date : 2024-08-27 , DOI: 10.1016/j.cgh.2024.08.009 Prowpanga Udompap 1 , Kan Liu 2 , Itzhak Zachi Attia 2 , Rachel E Canning 3 , Joanne T Benson 3 , Terry M Therneau 3 , Peter A Noseworthy 2 , Paul A Friedman 2 , Puru Rattan 1 , Joseph C Ahn 1 , Douglas A Simonetto 1 , Vijay H Shah 1 , Patrick S Kamath 1 , Alina M Allen 1
Clinical Gastroenterology and Hepatology ( IF 11.6 ) Pub Date : 2024-08-27 , DOI: 10.1016/j.cgh.2024.08.009 Prowpanga Udompap 1 , Kan Liu 2 , Itzhak Zachi Attia 2 , Rachel E Canning 3 , Joanne T Benson 3 , Terry M Therneau 3 , Peter A Noseworthy 2 , Paul A Friedman 2 , Puru Rattan 1 , Joseph C Ahn 1 , Douglas A Simonetto 1 , Vijay H Shah 1 , Patrick S Kamath 1 , Alina M Allen 1
Affiliation
Accessible noninvasive screening tools for metabolic dysfunction–associated steatotic liver disease (MASLD) are needed. We aim to explore the performance of a deep learning–based artificial intelligence (AI) model in distinguishing the presence of MASLD using 12-lead electrocardiogram (ECG).
中文翻译：
人工智能心电图在预测代谢功能障碍相关脂肪性肝病中的表现
需要可用于代谢功能障碍相关脂肪肝病（MASLD）的无创筛查工具。我们的目标是探索基于深度学习的人工智能 (AI) 模型在使用 12 导联心电图 (ECG) 区分 MASLD 存在方面的性能。
更新日期：2024-08-27
中文翻译：
人工智能心电图在预测代谢功能障碍相关脂肪性肝病中的表现
需要可用于代谢功能障碍相关脂肪肝病（MASLD）的无创筛查工具。我们的目标是探索基于深度学习的人工智能 (AI) 模型在使用 12 导联心电图 (ECG) 区分 MASLD 存在方面的性能。
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