In Austria, around 15,000 people a year develop a venous thrombosis, the occlusion of a vein that can result in a pulmonary embolism. A clot breaks free from a vein and travels via the bloodstream to the lungs, where it blocks ...
Aug 14, 2013
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Mayo Clinic researchers have found that using artificial intelligence (AI) algorithms to analyze patterns of changes in women who are in labor can help identify whether a successful vaginal delivery will occur with good outcomes ...
Aug 30, 2022
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A major obstacle to the implementation of early palliative care (EPC) is the lack of objective criteria for referral to EPC. Circulating microRNAs (miRNAs) have been recognized as promising biomarkers.
Dec 29, 2022
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The so-called Framingham cardiovascular risk calculator was developed in 1991 on the basis of data gathered in the U.S. between 1968 and 1975. It is named after the town of the same name in Massachusetts, where a systematic ...
Mar 19, 2019
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A lung cancer risk prediction model developed by scientists at the University of Liverpool has been shown to be a viable tool for selecting high risk individuals for prevention and control programmes.
Aug 20, 2012
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Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication that increases morbidity and mortality after cardiac surgery. Most established predictive models are limited to the analysis of nonlinear relationships ...
Feb 16, 2023
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According to ARRS' American Journal of Roentgenology (AJR), artificial intelligence (AI) predictive analytics performed moderately well in solving complex multifactorial operational problems—outpatient MRI appointment no-shows, ...
Sep 10, 2020
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It's common knowledge that excessive UV exposure from sunlight raises your chances for skin cancer, but predicting whether someone will actually develop skin cancer remains difficult. In a new research report, scientists ...
Dec 4, 2012
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Autism spectrum disorder (ASD) can be predicted from routine developmental surveillance data, according to a study published online Jan. 10 in JAMA Network Open.
Jan 12, 2024
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(Medical Xpress)—The most widely used models for predicting heart failure rely on a complex combination of lifestyle, demographic, and cardiovascular risk factor information.
Nov 8, 2012
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