A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

The term dementia is used to describe various debilitating neurological disorders characterized by a progressive loss of ...

Background Current risk scores inadequately predict long-term mortality after transcatheter aortic valve replacement (TAVR), ...

For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of ...

A machine learning model developed to predict 5-year survival in stage III colorectal cancer patients highlights key ...

A global study shows machine learning improves survival predictions for hospitalised cirrhosis patients, outperforming ...

AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached with caution.

A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, according to research published in Gastroenterology.The model, which used Random ...

Artificial intelligence and machine learning are transforming acute respiratory distress syndrome (ARDS) management, enabling ...

AI-trained data analysis models may offer a more rapid and accurate detection of a range of neurologic conditions, including ...