We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. 19 Table 1 summarizes the eligibility criteria. Study design Quantitative (interventional or ...

Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...

At the recent HIMSS cybersecurity briefing, Celerium CISO Vince Crisler convened AHA National Advisor for Cybersecurity and Risk John Riggi and Pecos, Texas-based Reeves Regional Health CIO John ...

Abstract: Federated Learning (FL) is an emerging computing paradigm to collaboratively train Machine Learning (ML) models across multi-source data while preserving privacy. The major challenge of ...

Abstract: Tabular data is the most widely used data form in real-world applications, and tree-based models are suitable for it due to their model structures. In practice, it is crucial to quantify ...

A descriptive analysis of the program's design was conducted across three annual editions. The 2023 edition described aims and foundations, while the 2024 and 2025 editions were evaluated using a ...

Preventing future health crises requires urgent, coordinated action that recognizes the deep interconnections between the health of people, animals, plants and ecosystems. As global challenges ...

See more of our trusted coverage when you search. Prefer Newsweek on Google to see more of our trusted coverage when you search. CareCloud, a U.S.-based health care technology company that provides ...

CareCloud, a U.S.-based health care technology company that provides electronic health record (EHR) systems to tens of thousands of medical providers, has confirmed a cybersecurity incident involving ...

How many doctors are using AI tools in a healthcare setting? It’s a question everyone wants answered, and one that’s impossible to pin down exactly. But recent data may offer a clue. Wolters Kluwer, ...