Microsoft's Azure Machine Learning service sits at the heart of this ... deep background in data science. With features like AutoML, drag-and-drop design tools, and MLOps integration, the platform ...

Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto ...

“Foresight is a really exciting step towards being able to predict disease and complications ... health trajectories from data from two NHS trusts. “To be able to use it in a national setting ...

Artificial intelligence is playing an increasingly vital role in modern medicine, particularly in interpreting medical images ...

tech giant reveals Amazon has today announced it is to deploy hundreds of devices across its European fulfilment centres that use machine learning and automation to create "made to fit" cardboard ...

“We all know that tobacco use has been linked to coronary heart disease and cardiovascular disease, but there is a lack of nationally representative data,” Roopeessh Vempati, MD, internal ...

Plaque in the arteries can rupture from blockages and cause blood flow to stop, which can lead to a heart attack. Congenital heart disease can involve major structural issues, such as the absence ...

scans of the heart could help to detect a life-threatening heart disease and enable clinicians to better predict which patients are most at risk, according to a new ... The Risk of Death or ...

From a simple smartphone app, he has managed something remarkable: diagnosing potential heart conditions in mere seconds. His innovation, Circadian AI, could change the way cardiovascular diseases are ...