Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, extending the prior DAAE framework beyond static baseline risk. Registry ...
Artificial intelligence (AI) refers to computer systems designed to perform tasks that require human intelligence, while machine learning (ML) is used to learn patterns from data and subsequently ...
Machine learning predicts who will decline faster in Alzheimer’s disease using routine clinic data
In a recent study published in the journal Communications Medicine, a group of researchers developed and validated scalable machine learning models that predict 12-month Mini-Mental State Examination ...
A machine learning model matched HVPG accuracy for predicting decompensation in advanced chronic liver disease, without invasive testing.
A proposed machine learning framework for metabolic dysfunction-associated steatotic liver disease may improve personalized risk prediction.
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