Latest AI and machine learning research in emergency medicine for healthcare professionals.
PURPOSE OF REVIEW: Osteoporotic fractures remain a major cause of morbidity and mortality worldwide. Current clinical assessment metrics (e.g., bone mineral density) are limited in their ability to identify fracture risk and bone strength. Statistical Shape and Appearance Modelling (SSAM) offers a method to quantify anatomical geometry and density patterns. This review examines advancements in SSA...
BACKGROUND: Respiratory epidemics often place substantial pressure on intensive care units (ICU), which are continuously challenged to managing acute and life-threatening conditions under unpredictable workloads. During these periods, ICUs usually exhibit inefficient patient flows, treatment delays, and critical resource shortages. Proactive decision-making and precise interventions are therefore ...
BACKGROUND: Postoperative gastrointestinal (GI) bleeding is a serious complication after hip fracture surgery in older adults, yet perioperative risk ...
Across surgical specialties, minimally invasive (laparoscopic) surgery has become a standard technique, as it is associated with less trauma, reduced ...
The recent advent of anti-amyloid-β monoclonal antibodies has introduced new demands for MRI-based screening of amyloid-related imaging abnormalities,...
PURPOSE: To evaluate feasibility and safety of robot-assisted subretinal injections through attached retina using the comanipulated Mynutia system in ...
As artificial intelligence (AI) becomes more integrated into public decision-making, its anthropomorphic features raise new questions about trust, acc...
BACKGROUND: Cardiogenic shock (CS) is a critical condition of end-organ hypoperfusion with high mortality. Fluctuations in blood glucose (BG) levels m...
BACKGROUND: ST-elevation myocardial infarction (STEMI) exhibits substantial clinical heterogeneity complicating prehospital risk stratification. Tradi...
BACKGROUND: Long-term opioid therapy (LTOT) after hip fracture surgery is a common postoperative complication associated with adverse outcomes, yet to...
The aim of this study is to develop a machine learning triage model for HR-HPV positive women based on methylation patterns of human and HPV genes to ...
INTRODUCTION: Subtle PD motor abnormalities can be underappreciated in examination but are overtly present in handwriting. Spiral, meander, and wave d...
INTRODUCTION: Emergent electroencephalography (emEEG) is increasingly employed in the emergency department (ED) for evaluating altered consciousness a...
PURPOSE: To develop and validate deep learning models for predicting keratoconus progression risk using multimodal imaging and clinical data, enabling...
This review is intended for forensic toxicologists and cheminformaticians seeking an understanding of the past implementations and future directions o...
BACKGROUND: Tuberculosis-diabetes mellitus (TB-DM) multimorbidity significantly increases the risk of multidrug-resistant/rifampicin-resistant tubercu...
AIM: Planning for a hospital is a complex and dynamic process, traditionally not informed by evidence. A systems thinking approach can be useful in in...
This study presents a comprehensive simulation-based assessment of potential transboundary radiological transport to Ireland from six nuclear faciliti...
Sepsis-related cardiac dysfunction (SRCD) represents a critical determinant of both acute mortality and long-term cardiovascular morbidity in sepsis s...
Low temperature remains a major bottleneck in silage fermentation, especially in cold regions and high-altitude areas. This study investigated the reg...