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A machine learning-based model can predict 30-day in-hospital mortality among patients with asthma in the ICU.
Radio ZET on MSN3h
Machine learning to predict high-risk coronary artery disease on CT in the SCOT-HEART trial
Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...
Background Digital therapeutics (DTx) show promise in bridging mental healthcare gaps. However, treatment selection often relies on availability and trial-and-error, prolonging suffering and ...
Researchers adapt model predictive control from engineering to epidemic response, balancing health and economic costs under ...
1don MSN
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 ...
Glioblastoma is a devastatingly effective brain cancer. Doctors can cut it out or blast it with radiation, but that only buys time. The cancer has an insidious ability to hide enough tumor cells in ...
News Medical on MSN1d
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 ...
A deep learning-based model, SABRE, may help predict mortality and disease progression in patients with idiopathic pulmonary fibrosis (IPF).
1. From 'Simulating Humans' to 'Data-Driven': The Ultimate Goal and Implementation Path of AI ...
News-Medical.Net on MSN12d
AI 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.
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