While clinical labs’ use of machine learning and artificial intelligence is perhaps most prominently associated with areas like pathology and microbiology testing, these tools are also seeing uptake for lab management applications like specimen routing and billing support.These kinds of
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Should you drink coffee? If so, how much? These seem like questions that a society able to create vaccines for a new respiratory virus within a year should have no trouble answering. And yet the scientific literature on coffee illustrates
Dive Brief: FDA has granted emergency use authorization to a machine learning system designed to spot signs of COVID-19 infection in otherwise asymptomatic individuals. The product, which is not classed as a diagnostic device, consists of an armband that uses
AI isn’t ready for COVID-19 prime time. A systematic review of published this week in nature machine intelligence warns that new models using machine learning to review chest radiographs and chest computed tomographies for COVID-19 have major methodical deficiencies or underlying biases.
Thousands of patients each year are transferred between UPMC’s hospitals for high-acuity, complex medical care. To ensure patients are fully informed before those transfers, the Pittsburgh health system is now piloting a new care process aided by a machine-learning tool.
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AbstractOBJECTIVE To identify the core gut microbial features associated with type 2 diabetes risk and potential demographic, adiposity, and dietary factors associated with these features.RESEARCH DESIGN AND METHODS We used an interpretable machine learning framework to identify the type 2
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