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Towards automatic diagnosis of rheumatic heart disease on echocardiographic exams through video-based deep learning
Journal of the American Medical Informatics Association ( IF 4.7 ) Pub Date : 2021-07-19 , DOI: 10.1093/jamia/ocab061
João Francisco B S Martins 1 , Erickson R Nascimento 1 , Bruno R Nascimento 2 , Craig A Sable 3 , Andrea Z Beaton 4 , Antônio L Ribeiro 2 , Wagner Meira 1 , Gisele L Pappa 1
Affiliation  

Rheumatic heart disease (RHD) affects an estimated 39 million people worldwide and is the most common acquired heart disease in children and young adults. Echocardiograms are the gold standard for diagnosis of RHD, but there is a shortage of skilled experts to allow widespread screenings for early detection and prevention of the disease progress. We propose an automated RHD diagnosis system that can help bridge this gap.

中文翻译:

通过基于视频的深度学习在超声心动图检查中自动诊断风湿性心脏病

风湿性心脏病 (RHD) 影响全球约 3900 万人,是儿童和年轻人中最常见的后天性心脏病。超声心动图是诊断 RHD 的金标准,但缺乏熟练的专家来进行广泛的筛查以早期发现和预防疾病进展。我们提出了一种自动 RHD 诊断系统,可以帮助弥合这一差距。
更新日期:2021-08-15
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