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(HealthDay News) — Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression to end-stage renal ...
A modified large language model called Delphi-2M analyses a person’s medical records and lifestyle to provide risk estimates ...
News Medical on MSN
Using AI models to improve prediction of CKD's progression to end-stage renal disease
Chronic kidney disease (CKD) is a complex condition marked by a gradual decline in kidney function, which can ultimately ...
Among hospitalized patients with cirrhosis, a machine learning (ML) model enhanced mortality prediction compared with traditional methods and was consistent across country income levels in a large ...
Using a cohort of more than 33,000 Chinese patients, investigators comprehensively analyzed urinary stone composition.
A study shows that a new machine learning model, can successfully predict heart disease risk in women by analyzing mammograms ...
A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analysing mammograms. The findings were published today in ...
Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk of cardiovascular disease rises. Mammographic features such as breast ...
A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...
News-Medical.Net on MSN
New neurochemical signature distinguishes Parkinson’s disease from essential tremor
Researchers have identified a neurochemical signature that sets Parkinson's disease apart from essential tremor - two of the ...
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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