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

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

We spoke with endocrinologists to explore the potential of artificial intelligence in the management of chronic disease, including diabetes, obesity, and PCOS.

A team of Mayo Clinic researchers has developed an artificial intelligence (AI) system that can detect surgical site ...

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

A groundbreaking AI tool could soon help prevent sudden cardiac deaths by accurately identifying high-risk patients with a ...

Researchers from Southern Medical University and collaborators report the identification of FDA‑approved compounds that may ...

Today, Apple published on its Machine Learning Research blog, select recordings from its 2024 Workshop on Human-Centered Machine Learning.

Named Aeneas (after the mythical hero of Rome’s foundation epic), the system is a generative neural network designed to ...

Bibek Bhattarai details Intel's AMX, highlighting its role in accelerating deep learning on CPUs. He explains how AMX ...