论文标题
设计考虑高影响力，自动超声心动图分析的注意事项
Design Considerations for High Impact, Automated Echocardiogram Analysis
论文作者
论文摘要
深度学习有可能自动化超声心动图分析以早期检测心脏病。基于对设计问题的定性分析，这项研究表明，预测正常的心脏功能而不是疾病会导致数据质量偏见，并显着提高心脏病学家工作流程的效率。
Deep learning has the potential to automate echocardiogram analysis for early detection of heart disease. Based on a qualitative analysis of design concerns, this study suggests that predicting normal heart function instead of disease accounts for data quality bias and significantly increases efficiency in cardiologists' workflows.
