This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

Monitoring a constant stream of data doesn’t help people make health-related decisions and can lead to confusion and needless ...

An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

Neuroscientist Vivienne Ming argues in her new book that the biggest risk of artificial intelligence is people using it too ...

Scientists have found a way to make AI much better at predicting complex, chaotic systems by tapping into the unique power of ...

Despite headwinds, the U.S. life sciences industry continues to yield impressive results, leveraging technology for earlier ...

Background Early identification of patients at risk of heart failure (HF) provides opportunities for preventative management. Though models have been developed to predict HF incidence, their ...

Scientific research teams from Brigham and Women’s Hospital in Boston, Cincinnati Children’s Hospital Center and the University of Pittsburgh will lead a new $15 million initiative dedicated to better ...

Scientific research teams from Mass General Brigham Heart and Vascular Institute in Boston, Cincinnati Children's Hospital Center and the University ...

AI is transforming research. These AI tools for research will help you keep up with the times and take your research to the next level.

Machine learning models can predict the risk for developing moderate-to-severe persistent asthma and allergic rhinitis in ...