Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...
insights from industryZoë ThomsonCo-founder and Chief Innovation Officer LUCID In this interview, News-Medical speaks to Zoë Thomson, Co-founder and Chief Innovation Officer of LUCID, about how music ...
From chatbots that will reschedule your appointment to a system that provides a monitor during labor, health care systems in Northwest Arkansas are finding ways to use artificial intelligence.
University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...
The adoption of machine learning approaches in systematic reviews is fundamentally transforming evidence-based medicine. Traditionally, systematic reviews have involved painstaking manual screening of ...
Using machine learning and a large volume of data on genes and existing drugs, researchers at Lund University in Sweden have ...
Models built on machine learning in health care can be victims of their own success, according to researchers at the Icahn School of Medicine and the University of Michigan. Their study assessed the ...
A team led by investigators at the Hospital for Special Surgery (HSS) in New York City reports that their computer vision tool effectively distinguishes rheumatoid arthritis (RA) from osteoarthritis ...
As a patient recovers from a wound, a doctor may watch over them, monitoring the healing process and prescribing treatments based on the body’s responses. But a wide variety of factors including diet, ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
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