CHARTwatch, a machine learning model, shows promise in reducing patient mortality and improving outcomes in hospital settings, according to new CMAJ study. Study: Clinical evaluation of a machine ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using machine learning and big data to improve health care and medical research. Both ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Artificial intelligence is rapidly becoming medicine’s most powerful microscope, revealing patterns in human DNA that were ...

Artificial intelligence is no longer just spotting tumors a little faster than humans. In study after study, machine learning systems are uncovering hidden patterns in cancer data that even veteran ...

A joint team of researchers from Constructor University and Constructor Technology have harnessed the power of machine learning to uncover new findings about human thyroid health. In a new study ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Overview: Advanced Big data courses equip learners with skills in analytics, machine learning, and data visualization.Hands-on experience with tools like Hadoop ...