Virtual reality may help foster learning and collaboration across health professions

A virtual world may be a feasible learning platform for bringing together students from different healthcare professions and enhancing their understanding of collaborative patient care and knowledge of other health professions, according to a pilot study led by researchers from Tufts University School of Medicine and published online in the Continue Reading

Machine learning models help clinicians identify people who need advanced depression care

Researchers at Regenstrief Institute and Indiana University created decision models capable of predicting which patients might need more treatment for their depression than what their primary care provider can offer. The algorithms were specifically designed to provide information the clinician can act on and fit into existing clinical workflows. Depression Continue Reading

Foraging for information: Machine learning decodes genetic influence over behavior

Mice scurry around while foraging for food, but genetics may be the unseen hand controlling these meandering movements. Researchers at University of Utah Health are using machine learning to draw links between genetic controls that shape incremental steps of instinctive and learned behaviors. The results are available online in Cell Continue Reading

Deep learning AI may identify atrial fibrillation from a normal rhythm ECG

An artificial intelligence (AI) model has been found to identify patients with intermittent atrial fibrillation even when performed during normal rhythm using a quick and non-invasive 10 second test, compared to current tests which can take weeks to years. Although early and requiring further research before implementation, the findings could Continue Reading

Machine learning overtakes humans in predicting death or heart attack

Machine learning is overtaking humans in predicting death or heart attack. That’s the main message of a study presented today at ICNC 2019. The International Conference on Nuclear Cardiology and Cardiac CT (ICNC) is co-organised by the American Society of Nuclear Cardiology (ASNC), the European Association of Cardiovascular Imaging (EACVI) Continue Reading