Emergency Medicine

Identification and Experimental Validation of Biomarkers Associated with PI3K/AKT Signaling Pathway in Spinal Cord Injury.

Spinal cord injury (SCI) refers to trauma to the spinal cord resulting in functional deficits. Dysregulation of the phosphoinositide 3-kinase/serine-threonine kinase (PI3K/AKT) pathway significantly contributes to the pathogenesis of SCI. This study evaluated the role of PI3K/AKT-associated biomarkers in SCI. Transcriptomic data from SCI samples deposited in the Gene Expression Omnibus (GEO) datab...

An AI Based Screening Tool for Detection of Cerebral Venous Thrombosis on Non-Contrast Brain CT.

While non-contrast computed tomography (NCCT) is the primary ‎imaging modality in emergency settings, it has a low sensitivity for detection of ‎Cerebral Venous Thrombosis (CVT). This study aims to develop an Artificial ‎Intelligence (AI) tool to screen for CVT on routine NCCT scans.‎ Methods: We used a retrospectively collected dataset of 692 patients, including ‎‎258 with CVT from Iran Cerebral ...

Design of a soft robotic endoscope with enhanced bending and AI-based prediction.

Minimally invasive surgery (MIS) increasingly benefits from soft robotic platforms that offer enhanced compliance and safer human-robot interaction. H...

Cerebral Vasospasm Detection and Delayed Cerebral Ischemia Prediction after Aneurysmal Subarachnoid Hemorrhage: A Scoping Review.

BACKGROUND/OBJECTIVE: Aneurysmal subarachnoid hemorrhage (aSAH) is complicated by angiographic cerebral vasospasm and delayed cerebral ischemia (DCI),...

Machine learning predicts ICU mortality in cardiogenic shock: interpreting SOFA, lactate, and pH thresholds.

Visit-to-visit systolic blood pressure variability and risk of severe hypertensive episodes in a multicenter cohort.

BACKGROUND: Visit-to-visit blood pressure variability has been associated with cardiovascular outcomes; however, its role in predicting severe blood p...

Development and Validation of a Machine Learning Model for Predicting Postoperative Delirium in Elderly Patients with Hip Fracture: A Retrospective Cohort Study.

Postoperative delirium (POD) is a common and serious complication in elderly hip fracture patients, including those undergoing surgery for femoral nec...

Physics-informed deep learning for rapid marine radionuclide dispersion forecasting in nuclear emergency response.

In the event of a severe nuclear accident at a coastal nuclear power plant, the rapid and accurate assessment of radionuclide dispersion in surroundin...

Addressing diagnostic code variability in intimate partner violence surveillance through natural language processing: Evidence from substance use disorder populations.

BACKGROUND: Intimate partner violence (IPV) and substance use disorders (SUDs) represent major public health challenges, yet identifying IPV cases in ...

The role of artificial intelligence-enhanced multispectral imaging in burn surgery decision-making: A patient-centered mixed-methods service evaluation.

BACKGROUND: Artificial intelligence (AI) supported imaging is increasingly used across plastic surgery, including burn care, to assist with assessment...

GUIDE-US: grade-informed unpaired distillation of encoder knowledge from histopathology to micro-ultrasound.

PURPOSE: Non-invasive grading of prostate cancer (PCa) from micro-ultrasound (micro-US) could expedite triage and guide biopsies toward the most aggre...

Integrated multi-omics data and machine learning approaches to decipher the molecular network and gene signatures of renal cell carcinoma induced by aristolochic acid.

OBJECTIVE: This study aims to delineate the molecular mechanisms through which aristolochic acid (AA) exposure drives renal cell carcinoma (RCC) patho...

Natural Language Processing for Surgical Quality Enhancement.

INTRODUCTION: Unstructured clinical data, including operative reports and progress notes, contain critical surgical information that is often absent f...

Development and Validation of Machine Learning Models to Identify Emergency Department Patients at Increased Risk of New or Progressive Acute Kidney Injury.

OBJECTIVES: Acute kidney injury (AKI) is a common and serious condition associated with prolonged hospitalization, chronic kidney disease, and increas...

Ensemble learning for predicting birth trauma using high-dimensional data in the neonatal intensive care unit.

Birth trauma remains a significant global health challenge and contributes substantially to neonatal morbidity and mortality. Although machine learnin...

[Advances in oral and craniofacial bone regeneration modulated by stem cells and biomaterials].

Cranio-maxillofacial bone defects resulting from trauma, tumors, infection, or congenital malformations not only severely impair patients' physiologic...

Outcomes of perioperative intra-aortic balloon pump support in patients undergoing aortic valve surgery: A single-centre, retrospective, observational study.

BACKGROUND: Patients undergoing aortic-valve surgery are prone to perioperative low-cardiac-output syndrome or progression to cardiogenic shock, which...

Enhanced diagnosis of diabetic retinopathy: integrating advanced algorithms for automated detection and classification.

AIM: To develop an automated diagnostic system for early detection of diabetic retinopathy (DR) using fundus images by identifying exudates, hemorrhag...

Development of a LightGBM-based survival prediction model for major burn patients using LDH/LYM ratio as the core predictor.

BACKGROUND: Patients with extensive burns face a high mortality risk. Early identification of prognostic indicators may facilitate timely intervention...

Evaluation of Brain Age on Magnetic Resonance Imaging Using Machine Learning Techniques in Patients With Hearing Loss.

OBJECTIVES: Hearing impairment is strongly linked to cognitive decline, with individuals having mild-to-severe hearing loss estimated as having a twof...