Benchmarking clinical reasoning and accuracy of large language models on breast oncology multiple-choice questions.

Researchers develop a radiomics-based machine learning model to identify patients with traumatic brain injury at risk ...

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...

Translating regenerative medicine from lab research to large-scale clinical and commercial production requires robust, scalable, and tightly controlled ...

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 ...

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...

How predictions would impact clinical decision-making is another question, expert says ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...