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 ...
Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...
A recent white paper by a working group of the International Atomic Energy Agency (IAEA) provided a comprehensive overview of ...
AI has a significant environmental impact — one that is difficult to quantify due to companies' lack of transparency with their data. But can end-users and companies take action to reduce it? View on ...
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 ...
Believe it or not, the focus on Artificial Intelligence (AI) began decades ago primarily as a result of a paper published in 1950 by a man named Alan Turing. He proposed his Turing Test as a benchmark ...
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 ...
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 ...
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