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In a new study, researchers used machine learning and deep learning models, as well as explainable artificial intelligence (AI), to assess integrated clinical and claims data with the goal of ...
Using a cohort of more than 33,000 Chinese patients, investigators comprehensively analyzed urinary stone composition.
A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.
6don MSN
Multimodal deep learning model improves risk prediction for cervical cancer radiotherapy decisions
Standard concurrent chemoradiotherapy (CCRT) for cervical cancer achieves disease-free survival (DFS) in approximately 70% of ...
Discover how machine learning shows high accuracy for HIV prediction but needs better validation before use in STI clinical ...
11d
News-Medical.Net on MSNAI and routine lab tests offer a more accurate prediction of genetic disease risk
When genetic testing reveals a rare DNA mutation, doctors and patients are frequently left in the dark about what it actually means.
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 ...
Researchers have identified a neurochemical signature that sets Parkinson's disease apart from essential tremor—two of the ...
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