Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...
Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Artificial intelligence technology allows computers and machines to simulate human intelligence and problem-solving ...
AI algorithms exhibit racial bias in job candidate screening, and they discriminate more frequently against those applying for multiple jobs at different companies, according to Stanford-led ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...
Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Generative AI in healthcare has reached a turning point as adoption continues to grow, but health systems face critical challenges with scaling the technology. Establishing effective policies around ...
Abstract: With the rapid advancement of technology and the increasing demand for user-centric products, the integration of machine learning techniques has become imperative. This paper explores the ...
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