For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Background Coronary artery disease (CAD) is one of the biggest causes of mortality worldwide. Risk stratification for early ...

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Rather than study how to use AI, students in this machine learning class work with the math that makes the AI work.