Illegal mining is not only an environmental issue. It is an economic, social and public-health crisis. Leveraging modern surveillance technology, alongside firm enforcement and sustained community ...

Triage, Critical Clinical Workflow Process, Chest Pain, Electrocardiogram (EKG), Door-to-EKG (DTE) Time Share and Cite: ...

Mount Sinai researchers showed that deep learning applied to standard ECGs accurately detected chronic obstructive pulmonary ...

The final, formatted version of the article will be published soon. Electrocardiogram (ECG) signals are frequently utilized for detecting important cardiac events, such as variations in ECG intervals, ...

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

Abstract: All the symptoms have been analyzed using several machine learning algorithms for diagnosing breast cancer. This paper utilizes the Breast Cancer Wisconsin (Diagnostic) data set to show how ...

Earlier this week, some people on X began replying to photos with a very specific kind of request. “Put her in a bikini,” “take her dress off,” “spread her legs,” and so on, they commanded Grok, the ...

Abstract: Electrocardiograms (ECG) offer a quick and noninvasive method to analyze heart disorders. However, analysis of ECGs under non-ideal or noisy situations presents challenges, even for experts.