Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...

The paper by Sajiki et al 1 gives us a fascinating glimpse of the potential benefits of applying machine learning to large ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

A virtual data room has always solved one problem: secure document sharing. What it never solved was the reading. A ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

Investigators assessed whether machine learning models provide accurate, individualized risk predictions for major 30-day postoperative complications following glossectomy.

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

In a significant advancement for smart agriculture and precision farming, researchers at Chandigarh University have developed ...

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with ...

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...