The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that ...

Another machine unlearning method recently was developed specifically for AI-generated voices. Jong Hwan Ko, an associate ...

A recent white paper by a working group of the International Atomic Energy Agency (IAEA) provided a comprehensive overview of ...

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

AI has a significant environmental impact — one that is difficult to quantify due to companies' lack of transparency with ...

CLEVELAND, Ohio - Thousands of Haitians have arrived in the United States since 2010 on Temporary Protected Status, to ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Objectives This review aimed to provide a pooled estimate of injury incidence and epidemiology in women’s ice hockey.Methods A systematic review and meta-analysis were conducted by searching PubMed ...

In August 2022 the Department of Health and Human Services (HHS) issued a notice of proposed rulemaking prohibiting covered entities, which include health care providers and health plans, from ...

BACKGROUND: BCR-ABL tyrosine kinase inhibitors (TKIs) have been increasingly linked to pulmonary arterial hypertension (PAH) since 2009, although supporting evidence is limited. Our objective was to ...

To fuel the debate in the SEO world of the topic of structured data and LLMs and AI engines, we are hearing that once again, AI engines like ChatGPT and Perplexity are not using structured data in any ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...