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 ...

Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiogramsJournal: eBioMedicine ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

AliveCor announced today that it received FDA clearance for the next generation of its AI technology for the Kardia 12L ECG ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Microsoft has begun out new AI-powered incident prioritization capabilities in Microsoft Defender alongside an expanded suite ...

President Donald Trump signed an executive order Thursday to expedite the reclassification of marijuana – an effort to increase research on its medical use but not fully legalize it. “This ...

SINGAPORE, Dec 17 (Reuters) - In a high-security Shenzhen laboratory, Chinese scientists have built what Washington has spent years trying to prevent: a prototype of a machine capable of producing the ...

A U.S. research team has developed the first-ever artificial intelligence (AI) model capable of predicting over 100 health ...