Mount Sinai researchers showed that deep learning applied to standard ECGs accurately detected chronic obstructive pulmonary ...
Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...
Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...
Using artificial intelligence (AI) to analyze electrocardiograms (ECG) improved detection of severe heart attacks, including those that presented with unconventional symptoms, or atypical ECG patterns ...
来自MSN
AI ECG better detects severe heart attacks in emergency setting, and have fewer false positives
Using artificial intelligence (AI) to analyze electrocardiograms (ECG) improved detection of severe heart attacks, including those that presented with unconventional symptoms, or atypical ECG patterns ...
SAN FRANCISCO, CA—Artificial intelligence-based ECG interpretation (AI-ECG) outperformed standard decision-making when it came to detecting angiographically confirmed STEMI across three primary PCI ...
一些您可能无法访问的结果已被隐去。
显示无法访问的结果
反馈