A machine learning tool that analyzes information already captured in a child's electronic health record helped pediatricians more accurately assess asthma risk in standardized clinical case scenarios ...

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 healthcare and medical research. Both ...

A simplified machine learning-based low-density lipoprotein cholesterol (LDL-C) equation provides results that are comparable ...

Sometimes, the best response for a predictive ML system is to pause, acknowledge that it does not have enough information and ...

Strive Health, a value-based kidney care provider, noticed many of its health IT vendors, like the provider itself, operate extensively in the value-based care space and collaborate with accountable ...

As artificial intelligence proliferates across healthcare, with AI now used for clinical and financial imperatives from disease diagnosis to cost and capacity predictions, there's big potential for ...

OpenAI, the maker of ChatGPT, released an open-source benchmark designed to measure the performance and safety of large language models in healthcare. The large data set, called HealthBench, goes ...

Agentic artificial intelligence took center stage at the HLTH 2025 conference in Las Vegas, and Brigham Hyde, Ph.D., is bullish about the future of the technology in healthcare. Atropos Health, which ...

The AI and Machine Learning major is one of two specialized majors in Purdue University’s 100% online Master of Science in Artificial Intelligence program. This major equips you with advanced ...