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Gaming in Medical Education: Promise, Pitfalls, and Practice
3+ week, 5+ day ago (205+ words) Gaming and gamification have progressively evolved as innovative educational strategies that are increasingly integrated into medical education across the continuum, from pre-clerkship and clinical training to residency and continuing professional development. Advances in educational technologies such as quiz-based platforms, virtual…...
External Validation, Reproducibility, and Interoperability in Digitized Traditional Diagnostic Research: A Cross-Sectional Content Analysis
3+ week, 1+ day ago (386+ words) Background: Traditional diagnostic research increasingly uses digital imaging, physiological signals, omics, and machine learning. Technical performance alone, however, does not establish that a method is independently validated, reproducible, or ready for clinical data integration. This study quantified the translational safeguards…...
Beyond Traditional Inventory Matrices: A Multidimensional Inventory and Safety Model for an Outpatient Pharmacy
3+ week, 4+ day ago (372+ words) Background: Effective outpatient pharmacy inventory management in tertiary care hospitals requires balancing rigorous cost containment with absolute clinical safety over multi-year operational cycles. Traditional ABC (Always, Better, Control) and VED (Vital, Essential, Desirable) matrices focus heavily on financial and basic…...
Cloud-Based Artificial Intelligence Classification of Common Intracranial Tumors on Magnetic Resonance Imaging
3+ week, 6+ day ago (296+ words) Brain tumors comprise a heterogeneous group of neurological conditions for which timely and accurate classification is important for diagnostic evaluation, treatment planning, and prognosis. Magnetic resonance imaging is the principal imaging modality used to evaluate intracranial tumors; however, image interpretation…...
Code-Free Classification of Pediatric Pneumonia on Chest Radiographs Using Google Cloud Vertex AI AutoML: A Proof-of-Concept Internal Validation Study
3+ week, 1+ day ago (272+ words) Pneumonia is a clinically significant respiratory infection for which timely and accurate diagnosis is essential. Chest radiography is commonly used in the evaluation of suspected pneumonia; however, radiographic interpretation may be affected by reader experience, workload, image quality, and interobserver…...
Freedom to Ride, Responsibility to Insure: Florida’s Motorcycle Trauma Coverage Gap When Private Risk Produces Publicly Financed Rescue
3+ week, 2+ day ago (154+ words) Florida’s motorcycle insurance framework can separate individual risk-taking from the financing of catastrophic trauma care. When meaningful first-party medical coverage is absent or inadequate, unreimbursed costs may be shifted to hospitals, physicians, public programs, insured families, and taxpayers. This editorial…...
Iterative Development of an AI-Assisted Data Extraction Tool for Literature Synthesis in Oncology
3+ week, 1+ day ago (302+ words) As oncology research continues to advance, the synthesis of clinical trial evidence is becoming more demanding for healthcare professionals, yet it remains critical for improving the provision of care. While sometimes inconsistent, large language models (LLMs) have emerged as a…...
Clinical Applications, Opportunities, and Implementation Challenges of AI in Emergency Medicine: A Narrative Review
4+ week, 1+ day ago (257+ words) EDs operate in high-acuity, time-sensitive, and resource-constrained environments where crowding, diagnostic uncertainty, boarding, variable patient acuity, and increasing documentation demands place substantial pressure on clinicians and health systems. AI, including machine learning, deep learning, natural language processing, computer vision, predictive…...
A Medical Large Language Model-Based System Improves History-Taking Performance Among Medical Students
3+ week, 6+ day ago (258+ words) Introduction: To develop a history-taking training and assessment system based on a medical large language model (MedLLM), evaluate its effect on medical students' history-taking competence, and examine its feasibility and effectiveness as a supplement to conventional interview teaching. Methods: An…...
Objective Assessment of Ideomotor Limb Apraxia Using Markerless Computer Vision and Machine Learning: A Proposed Framework and Validation Design
3+ week, 5+ day ago (323+ words) Ideomotor limb apraxia is a higher-order disorder of learned, skilled movement that cannot be adequately explained by elementary weakness, sensory loss, ataxia, extrapyramidal dysfunction, impaired comprehension, or lack of cooperation. It is common after left hemisphere stroke and occurs in…...