A pilot study suggests that new machine learning algorithm combining electrocardiogram (EKG) and electronic health record (EHR) data, could be more effective in screening blood clots in the lungs.
New artificial intelligence (AI) algorithms can detect signs of pulmonary embolism in electrocardiograms (EKGs), according to a study published in the European Heart Journal – Digital Health.
Apple Watchを利用した健康機能に関する研究が、世界中で行われています。 Apple Watchの心電図とメイヨークリニックの研究者が開発したアルゴリズムによって、心不全のユーザーを検出できたことが、話題になっています。 Apple Watchとメイヨークリニックの ...
Pulmonary embolisms are dangerous, lung-clogging blot clots. In a pilot study, scientists at the Icahn School of Medicine at Mount Sinai showed for the first time that artificial intelligence (AI) ...
Pulmonary embolisms are dangerous, lung-clogging blot clots. In a pilot study, scientists at the Icahn School of Medicine at Mount Sinai showed for the first time that artificial intelligence (AI) ...