In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne State University found that generative AI tools could perform orders of ...
A team of researchers from the SABIEN group at the ITACA Institute of the Universitat Politècnica de València (UPV) has led an international study that comprehensively analyzes the use and impact of ...
Home Markkula Center for Applied Ethics About the Center Center News Exploring AI in Health Care and the Promise and Peril for Patients and Society Quote from Guadalupe Hayes-Mota on Ethics and AI in ...
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: To assess the prevalence and determinants of macrovascular complications (coronary artery disease, stroke, and diabetic foot) among adults living with T2DM in rural Bangladesh. Methods: A ...
Abstract: The referral system in the National Health Insurance program aims to optimize the function of First Level Health Facilities as an initial health service filter. However, practice in the ...
Abstract: The integration of Internet of Things (IoT), Machine Learning (ML), and blockchain has recently gained importance in modern healthcare systems to allow real-time monitoring, secure data ...
ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...
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