Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
In this work, we introduce Progressive Growing of Patch Size (PGPS), an automatic curriculum learning approach for 3D medical image segmentation. Curriculum learning structures the training process by presenting progressively more complex samples to the model, often improving training convergence. In our case, we operationalize this by starting training with small patch sizes and gradually increas...
BACKGROUND: Large language models (LLMs) are increasingly embedded in medical education and clinical care settings, yet contemporary Canadian data describing medical students' use and perceptions remain limited. OBJECTIVE: To quantify the prevalence, frequency, and patterns of LLM use among medical students in Canada; to characterize perceptions of utility, accuracy, limitations, and impact; and t...
BACKGROUND: The diagnosis and monitoring of Alzheimer disease (AD) currently rely on clinician-administered, in-person, and cross-sectional pen-and-pa...
BACKGROUND: Clinical triage requires integrating multiple information sources to identify patients at risk of deterioration. Tools capturing global he...
The original mass spectrometry search engines used simple algorithms for peptide identification. Recent tools improved accuracy by adding several extr...
Periprosthetic joint infection (PJI) is one of the most serious complications following artificial joint replacement, posing significant treatment cha...
BACKGROUND: Postoperative nausea and vomiting (PONV) remains a prevalent complication hindering Enhanced Recovery After Surgery (ERAS) protocols, part...
BACKGROUND: Knowledge Translation (KT) research investigates methods to promote the uptake of research by practitioners, managers and policy-makers. R...
Artificial intelligence (AI) is becoming part of the working infrastructure of academic medicine. Because grants convert scientific ideas into protect...
BackgroundLow back pain is a global health challenge that requires constant progress to aid its management. Currently, artificial intelligence, as a m...
Rising anthropogenic carbon emissions are a major driver of climate change and pose a critical challenge to global sustainable development. As a rapid...
PROBLEM: Inequities in educational infrastructure, faculty availability, and access to continuing professional development contribute to variability i...
BACKGROUND: Inequitable and time-consuming shift scheduling contributes to nurse burnout, dissatisfaction, and turnover. In Taiwan, annual nurse turno...
BACKGROUND: Clinician burnout has reached crisis levels in emergency medicine, with clinical documentation burden identified as a central contributing...
BACKGROUND: Health problems associated with energy metabolism imbalance have received increasing attention. Our team was the first to propose the conc...
Serving as a pivotal parameter during deep learning training processes, learning rate plays a crucial role regarding training efficiency. Traditional ...
OBJECTIVES: Recruitment maneuvers (RMs) during invasive mechanical ventilation (IMV) for acute hypoxemic respiratory failure are not characterized in ...
Oviposition choice and larval performance are essential determinants of fitness in plant-herbivore interactions. The long-standing preference-performa...
BACKGROUND: As AI integration in medicine becomes critical, this study evaluated medical students' attitudes and knowledge regarding AI and determined...
BACKGROUND: Bronchopulmonary dysplasia (BPD) remains a major complication of extreme prematurity, but diagnosis and severity classification have becom...