Latest AI and machine learning research in emergency medicine for healthcare professionals.
The rapid expansion of chemical production and use has increased human exposure to environmental chemicals that can impact biological pathways relevant to mammary carcinogenesis. This trend creates an urgent need for scalable screening tools that can identify chemicals of potential concern before extensive animal testing or widespread exposure occurs. Conventional predictive models built solely on...
Smartphone-based fundus imaging (SBFI) is an emerging approach with potential relevance for global ophthalmic care, including in low- and middle-income countries and other resource-constrained settings. This scoping review, based on a structured literature search, synthesises current SBFI technology, clinical and teaching applications, implementation challenges and future directions. Analysing 30 ...
The liver is characterized by abundant blood supply and intricate anatomical architecture,rendering intraoperative and postoperative hemorrhage a prim...
The increasing burden of persistent organic pollutants, per- and polyfluoroalkyl substances, heavy metals, and emerging contaminants represents a glob...
BACKGROUND AND AIMS: ECMO is used to deliver cardiopulmonary support in extreme failure where standard therapies are unfruitful. Although ECMO is asso...
BACKGROUND AND AIMS: Post-traumatic stress disorder (PTSD) comorbid with depression is a prevalent, treatment-refractory clinical syndrome. Emerging e...
PURPOSE: To evaluate the feasibility of real-time intrarenal pressure (IRP) monitoring using the LithoVue™ Elite (LVE) ureteroscope and assess postope...
BACKGROUND: Timely vasopressor initiation is critical in fluid-refractory pediatric septic shock, yet clinicians lack objective tools to identify chil...
Early identification of acute myocardial infarction (AMI) remains challenging, particularly in non-ST-segment elevation presentations and occluded myo...
INTRODUCTION: Osteoporosis and osteopenia, characterized by reduced bone mineral density (BMD), increase fracture risk, particularly in older adults. ...
OBJECTIVE: This study aimed to identify plasma protein biomarkers associated with the presence and prognosis of intracerebral hemorrhage (ICH) in youn...
Timely and accurate detection of intertrochanteric fractures on pelvic radiographs may support prompt clinical assessment and treatment planning. Howe...
Breast cancer (BC) represents a major public-health burden, and epidemiological evidence suggests a potential association with exposure to methyl 4-hy...
BACKGROUND: Early prediction of walking independence after hip fracture surgery can support perioperative decision-making and rehabilitation planning....
The analysis of hematoxylin and eosin (HE)-stained bone marrow (BM) tissue sections in drug development toxicologic pathology studies is a key step in...
Traumatic dental injuries require rapid, accurate, and context-sensitive decisions, particularly during emergencies such as tooth avulsion, luxation i...
UNLABELLED: This study develops a machine learning model to predict osteoporosis in Chinese postmenopausal women. The model was trained using the larg...
BACKGROUND: Although hip fractures are commonly associated with functional decline, increased morbidity, and mortality, accurate models for both short...
INTRODUCTION: Drug safety evaluation is inherently multi-endpoint, multi-scale, and mechanistically interconnected. Traditional predictive toxicology ...
BACKGROUND: Diagnosing transient ischemic attacks (TIAs) remains challenging, particularly in primary care and emergency department settings where spe...