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AI models improve prediction of chronic kidney disease 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 ...
In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...
Using a cohort of more than 33,000 Chinese patients, investigators comprehensively analyzed urinary stone composition.
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 ...
Dr. Shipra Arya, Stanford vascular surgeon, receives $300,000 AHA award to develop an automated deep learning–based ...
FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...
Stanford University researchers developed a machine learning-based method capable of diagnosing multiple diseases using B cell and T cell receptor sequences. The model, called Machine learning for ...
Study published in The Journal of Thoracic and Cardiovascular Surgery indicates OneBreath™ technology can help diagnose and predict pneumonia from a single exhale. "Exhaled breath is an extraordinary ...
Researchers at the University of Alabama at Birmingham now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep learning and ...
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