Bayesian Inference and Dynamic Neural Feedback Promote the Clinical Application of Intelligent Congenital Heart Disease Diagnosis

Bayesian Inference and Dynamic Neural Feedback Promote the Clinical Application of Intelligent Congenital Heart Disease Diagnosis

Congenital heart disease (CHD) is the leading cause of infant death. An artificial intelligence (AI)-based CHD diagnosis network (CHDNet) is an echocardiogram video-based binary classification model that judges whether echocardiogram videos contain heart defects. Existing CHDNets have shown performa...

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Bibliographic Details
Main Authors: Weimin Tan, Yinyin Cao, Xiaojing Ma, Ganghui Ru, Jichun Li, Jing Zhang, Yan Gao, Jialun Yang, Guoying Huang, Bo Yan, Jian Li
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:Engineering
Subjects:
Congenital heart disease
Artificial intelligence
Deep learning
Model uncertainty
Online Access:http://www.sciencedirect.com/science/article/pii/S2095809923000048

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http://www.sciencedirect.com/science/article/pii/S2095809923000048

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