Publications by authors named "R E Upshur"
Background: Machine learning (ML) is increasingly used in population and public health to support epidemiological studies, surveillance, and evaluation. Our objective was to conduct a scoping review to identify studies that use ML in population health, with a focus on its use in non-communicable diseases (NCDs). We also examine potential algorithmic biases in model design, training, and implementation, as well as efforts to mitigate these biases.
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- Uncertainty is a fundamental aspect of medicine, as physicians often make critical decisions without complete information, influenced by factors like patient knowledge gaps and diagnostic limitations.* -
- AI tools are emerging as potential aids in reducing this uncertainty by enhancing data collection and promoting better communication between physicians and patients.* -
- Despite their promise, there is significant resistance to adopting AI in medical practice, highlighting the need for education on AI ethics and practical skills in medical training.*
Background: Federal deregulation of opioid agonist therapies are an attractive policy option to improve access to opioid use disorder care and achieve widespread beneficial impacts on growing opioid-related harms. There have been few evaluations of such policy interventions and understanding effects can help policy planning across jurisdictions.
Methods: Using health administrative data from eight of ten Canadian provinces, this study evaluated the impacts of Health Canada's decision in May 2018 to rescind the requirement for Canadian health professionals to obtain an exemption from the Canadian Drugs and Substance Act to prescribe methadone for opioid use disorder.