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Machine learning as a new frontier in mitral valve surgical strategy
Journal of Cardiac Surgery ( IF 1.3 ) Pub Date : 2021-10-19 , DOI: 10.1111/jocs.16059
Rashmi Nedadur 1 , Bo Wang 2 , Wendy Tsang 3
Affiliation  

One of the surgical options available for ischemic mitral regurgitation (MR) is mitral valve repair but is limited by recurrent regurgitation as it is experienced by a significant percentage of patients and has a negative impact on patient outcomes. Efforts to model and identify predictors of recurrent MR rely on complicated echocardiographic and clinical measurements that are subjective and not routinely collected.

中文翻译:

机器学习作为二尖瓣手术策略的新前沿

可用于缺血性二尖瓣关闭不全 (MR) 的手术选择之一是二尖瓣修复,但受到复发性关闭不全的限制,因为很大比例的患者都经历过这种情况,并对患者的预后产生负面影响。建模和识别复发性 MR 的预测因素的努力依赖于复杂的超声心动图和临床测量,这些测量是主观的且不定期收集。
更新日期:2021-12-01
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