Cardiovascular disease (CVD) is the leading cause of mortality worldwide. Addressing
social determinants of health (SDoH) may be the next forefront of reducing the enormous …

Heart disease remains the leading cause of death, such that nearly one-third of all deaths
worldwide are estimated to be caused by heart-related conditions. Advancing applications of …

Artificial intelligence (AI) applications in healthcare will have a potentially far-reaching
impact on patient care, however issues regarding algorithmic bias and fairness have …

Cardiovascular disease (CVD) has become a significant public health problem affecting
national economic and social development, and ranks among the top causes of death in the …

Background A comprehensive overview of artificial intelligence (AI) for cardiovascular
disease (CVD) prediction and a screening tool of AI models (AI-Ms) for independent external …

A growing body of work uses the paradigm of algorithmic fairness to frame the development
of techniques to anticipate and proactively mitigate the introduction or exacerbation of health …

Background Although studies have provided negative impacts of air pollution, heat or cold
exposure on mortality and morbidity, and positive effects of increased greenness on …

Introduction The increasing availability of data and computing power has made machine
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …

Background Cardiovascular disease is the leading cause of morbidity and mortality
worldwide. Prior research suggests that social determinants of health have a compounding …

Cardiovascular disease (CVD) in cancer patients can affect the risk of unplanned
readmissions, which have been reported to be costly and associated with worse mortality …