Latest AI and machine learning research in risk management for healthcare professionals.
BACKGROUND: AI is increasingly encountered in clinical care and medical education, but medical students' attitudes, perceptions, and self-reported familiarity have been assessed using heterogeneous survey instruments, AI referents, and response scales. Prior reviews often combined mixed health profession populations or summarized central estimates without fully showing variation across settings. O...
BACKGROUND: 3D printing is an advanced, computer-aided design (CAD)-guided, layer-by-layer manufacturing technology with strong potential for producing patient-specific drug products. Integrating AI with pharmaceutical 3D printing can accelerate formulation development, improve process robustness and quality, and enable efficient personalization across the preprinting, printing, and postprinting s...
INTRODUCTION: Long-term sickness absence represents a major public health challenge with far-reaching consequences for both individuals and society. M...
Prostate magnetic resonance imaging (MRI) reporting is a high-impact communication task because small differences in lesion laterality, sector localiz...
Dental caries management requires iterative clinical reasoning, yet treatment thresholds and intervention pathways vary considerably among dentists de...
INTRODUCTION: Oral potentially malignant disorders (OPMDs) and oral squamous cell carcinoma (OSCC) present a remarkable public health challenge worldw...
PURPOSE: While 3D vessel wall MRI (VW-MRI) is essential for characterizing vasculopathies, prolonged acquisition times limit its utility by increasing...
BACKGROUND: Strengthening the global health workforce is central to achieving universal health coverage, but health systems cannot improve what they c...
BACKGROUND: Mental health disorders (MHDs) represent a growing global challenge and pose a significant risk to public health. Alongside developments i...
AI is entering clinical practice faster than health professions curricula can teach it, leaving many educators eager to use AI-based teaching tools bu...
BACKGROUND: Biomedical informatics increasingly reuses clinical artificial intelligence (AI) benchmarks, yet successor releases are often treated as i...
INTRODUCTION: Cardiovascular (CV) adverse events are increasingly recognized in patients with cancer. Previous reviews of AI/ML have focused on single...
OBJECTIVES: To evaluate a DINOv2-based medical slice transformer (MST) for triaging abbreviated breast MRI by ruling out examinations with suspicious ...
The revised Product Liability Directive (rPLD) introduces a pivotal shift in the liability landscape for healthcare professionals using artificial int...
RATIONALE & OBJECTIVE: Severe hypokalemia requires prompt management and close surveillance. Although artificial intelligence-enabled electrocardiogra...
Atypia of undetermined significance (AUS) thyroid nodules account for 10-30% of thyroid fine-needle aspiration (FNA) cytology results, with a malignan...
BACKGROUND: Crisis helplines are a vital component of a robust public health approach to suicide prevention as they are often free, accessible, and pr...
High-throughput computational screening of polymers offers a powerful way to address the imbalance between the vast number of polymers synthesised for...
OBJECTIVES: Sudden cardiac arrest is a leading cause of mortality in Canada (40,000 treatable deaths annually). Despite the benefits of 9-1-1 telecomm...
BACKGROUND: Heart disease remains a leading cause of death for women in the United States. Despite this burden, awareness that heart disease is the le...