Latest AI and machine learning research in health policy for healthcare professionals.
The rapid emergence of Artificial Intelligence (AI) has unveiled the clinical, public health, and economic value of Canada's health data assets. However, the Canadian industry developing technologies to improve the standard and quality of Canadian healthcare has limited, and often dysfunctional, access to data. The eighth principle of the Pan-Canadian Health Data Charter calls for data-driven soci...
PROBLEM: Medical student research engagement is increasingly important in residency selection and professional development, yet structured, longitudinal mentorship programs remain limited, particularly in underserved settings. Inconsistent access to mentors and growing reliance on artificial intelligence tools further threaten the development of rigorous research skills. Scalable solutions are nee...
Secondary use of health records is vital for research, quality improvement, innovation, but it must comply with complex legal, ethical, and security r...
OBJECTIVES: To create and evaluate OpenRad ( https://konstvr.github.io/OpenRad/index.html ), a curated, standardized repository that aggregates open-a...
BACKGROUND: International mobility has intensified routine contact between health systems and patients who do not speak the dominant language of care....
PURPOSE: Wheelchair maintenance and repair services are critical for sustaining mobility, independence, and participation in daily activities. However...
BACKGROUND AND AIMS: Steatotic liver disease (SLD) has emerged as an important risk factor for hepatocellular carcinoma (HCC), often in the absence of...
PURPOSE: Macular disease can cause significant visual morbidity. Timely and accurate diagnosis and management is paramount. However, there is a lack o...
PROBLEM: Fragmented primary health care in China fails to tackle the growing burden of noncommunicable diseases. Despite substantial investment, fewer...
Personalized healthcare is crucial for transforming medical practice, offering more precise, efficient, and patient-centerd care. It not only improves...
BACKGROUND: Diabetic retinopathy (DR), a microvascular complication of diabetes, is an important cause of preventable blindness and can cause a signif...
BACKGROUND: Patient satisfaction is an important indicator of healthcare quality and system responsiveness, particularly in primary healthcare systems...
AIM: To evaluate the impact of an artificial intelligence medical scribe (AIMS) on clinical documentation efficiency, document quality, clinician-pati...
BACKGROUND AND INTRODUCTION: Workplace bullying and incivility have continued to escalate across health care and pose serious risks to workforce well-...
INTRODUCTION: Cardiovascular disease (CVD) remains a leading cause of global morbidity and mortality, with self-management playing a pivotal role in i...
The rapid expansion of Internet of Things (IoT) devices in smart healthcare systems has led to the generation of large volumes of diverse medical data...
Continuous and uninterrupted air quality monitoring is essential for environmental management and public policy formulation, which requires the absenc...
OBJECTIVE: To develop an explainable multimodal large language model (MM-LLM) that (1) screens optic nerve head (ONH) OCT circle scans for quality and...
BACKGROUND: Health guidelines play a central role in informing clinical practice, public health measures and health policy. But their trustworthiness ...
Globally, the primary concern affecting the suitability of groundwater for drinking is the presence of numerous chemical contaminants in large-scale a...