Electronic health record (EHR) adoption was driven, in part, by a recognition of the power of data. Given the complexities of healthcare ...

The editorial board members (AHA) journals are committed to transparency, open-science principles, and quality assurance in the publication of AI-based research articles, with the goal of achieving ...

Abstract: Data imputation (DI) is a common means of enhancing data quality. To adapt to the flourishing field of machine learning (ML), an innovative class of imputation methods that consider ...

The arrival of the 2025 NFL season means more than just making spread or total picks, as it also gives bettors the opportunity to make NFL prop bets on the league's biggest stars. From the 13 games on ...

The 2025 NFL season kicks off tonight with a key NFC East matchup between the Dallas Cowboys and the defending Super Bowl champion Philadelphia Eagles (-8, 47.5). Since 2010, Dallas and Philadelphia ...

Objective: To develop and validate a machine learning (ML)-based prediction model of Bethesda III nodules and create a nomogram based on the best model. Methods: We collected data on patients with ...

With over 3 gigawatts of grid assets already under management, Splight aims to use the fresh capital to accelerate the deployment of Dynamic Congestion Management™ on grid systems across U.S. and ...

Competing with big box stores can often feel like trying to win the World Series with a rookie roster. The top players have massive networks, seemingly endless budgets, and delivery timelines that ...

Please provide your email address to receive an email when new articles are posted on . Researchers are using machine learning to identify data-driven PCOS subtypes. Findings may lead to more precise ...

Chandra Madhumanchi stands out as a pioneering force in the fields of machine learning (ML), artificial intelligence (AI), and data engineering. With over two decades of experience and a reputation ...