Latest AI and machine learning research in emergency medicine for healthcare professionals.
Radiographic fracture-healing assessment is subjective and time-consuming, and existing automated methods often underuse the complementary information in paired anteroposterior (AP) and lateral (LAT) radiographs. To address this limitation, we propose Dual-View Fracture Scoring (DV-FraS), a deep learning framework for automated cortex-level fracture-healing assessment from paired orthogonal radiog...
The association between artificial sweeteners (ASs), which are widely used sugar substitutes, and metabolic dysfunction-associated steatotic liver disease (MASLD) remains unclear. In this study, we employed an integrated approach to investigate the potential risk and mechanisms of AS-induced MASLD. Using network toxicology, we predicted 534 potential overlapping targets of common ASs (acesulfame, ...
Organ-on-a-Chip (OoC) systems use microfluidic and tissue engineering techniques to recreate key features of organ microenvironments. They have become...
Ischemic stroke and subsequent reperfusion injury are major causes of mortality and long-term neurological disability, driven by complex mechanisms of...
BACKGROUND: This multicenter study developed and validated an interpretable machine learning model integrating granular nursing and emergency departme...
Automated bone-fracture detection from radiographic images remains a challenging task due to variations in anatomical structures, imaging conditions, ...
Polytrauma is commonly defined as multisystem trauma involving at least two body regions with an Abbreviated Injury Scale (AIS) score ≥ 3, characteriz...
The integration of AI into drug design has undergone a transformative evolution, reshaping the landscape of medicinal chemistry. AI's exceptional capa...
INTRODUCTION: A cross-sectional comparative device study to compare the Eyerobo Vision Screener (VS), a portable handheld photorefractor, against a co...
Allergic rhinitis (AR) is a prevalent inflammatory disorder of the upper airways, and exposure to environmental endocrine-disrupting chemicals such as...
RATIONALE AND OBJECTIVES: To propose a new imaging biomarker, the pulmonary artery-to-vein volume difference (PAVVD), and evaluate its efficacy in ris...
Accurate triage is vital in emergency departments, where misidentification delays care, increases morbidity and mortality, and strains resources, part...
UNLABELLED: This study shows that an artificial intelligence tool can identify patterns of reduced bone mineral density in routine CT scans that would...
PURPOSE: Deep learning (DL) denoising may improve cone-beam CT (CBCT) image quality for point-of-care stroke assessment in the interventional suite. T...
OBJECTIVE: Emotion regulation influences psychological responses to trauma, with event-related rumination affecting the development of posttraumatic s...
Background: Contingency management (CM) is a psychosocial treatment used to improve socially significant behaviors. Its efficacy has been demonstrated...
NADPH oxidases (NOXs) have emerged as central hubs that link environmental, metabolic, and immune cues through spatially organized redox signaling. Ho...
BACKGROUND: Appendicitis severity underpins contemporary management guidelines, where laparoscopic appendectomy remains gold standard. Preoperative me...
PURPOSE: Diabetic retinopathy (DR) screening is essential to prevent vision loss, yet rising diabetes prevalence threatens to outpace ophthalmology ca...
MOTIVATION: Chemical toxicity assessment is critical for drug development and environmental safety. Computational models have emerged as a promising a...