Latest AI and machine learning research in domestic violence for healthcare professionals.
BACKGROUND: Catheter-based urodynamic studies remain the standard for diagnosing lower urinary tract dysfunction, but are limited by discomfort, infection risk, and restricted monitoring duration. Emerging implantable bladder sensors offer the potential for real-time wireless pressure monitoring without the need for catheters, with promising applications in neurology. This study was aimed to syste...
OBJECTIVE: While healthcare practitioner (HCP) involvement is widely acknowledged as essential for the development and evaluation of trustworthy data-driven clinical decision support systems (CDSS), practical guidance remains limited. This critical narrative review examines existing frameworks, highlights HCP-related considerations, and identifies areas where further guidance is warranted. METHODS...
PURPOSE OF REVIEW: Trauma care demands rapid decision-making under uncertainty and time pressure, where maintaining situational awareness becomes chal...
BACKGROUND: The impact of surgical complications is substantial and multifaceted, affecting patients and their families, surgeons, and health care sys...
BACKGROUND: The process of developing and updating an evidence gap map (EGM) is based on the principles of systematic reviews and requires extensive t...
Early detection of breast cancer (BC) through mammography screening is critical for reducing mortality and improving patient outcomes. However, full-p...
Tranexamic acid (TXA) reduces mortality in patients with trauma; however, optimal patient selection remains unclear. This study aimed to identify trau...
AIMS: Ultrasound is a highly sensitive method to detect developmental dysplasia of the hip (DDH). However, the cost of expert sonographers performing ...
Metal-organic frameworks (MOFs) are prime candidate materials for gas adsorption and separation owing to their exceptional porosity and structural tun...
INTRODUCTION: Hemorrhagic shock is the most common preventable cause of death in trauma patients. Early transfusion significantly improves survivabili...
Artificial intelligence (AI) models for diagnostic imaging face reproducibility challenges due to inconsistent reporting. Existing guidelines also lac...
PURPOSE: Chest X-rays (CXRs) are essential in trauma care but have limited sensitivity for rib fracture detection, leading to frequent missed diagnose...
OBJECTIVE: The growing number of studies directly comparing artificial intelligence (AI) to physicians in diagnostic tasks often focuses on performanc...
Radiomics seeks to convert medical images into quantitative biomarkers capable of capturing tumor phenotype, microenvironment, and underlying biology....
OBJECTIVES: Non-contrast MRI (bi-parametric MRI-bpMRI) has been investigated as a potential tool to be integrated in clinically significant prostate c...
Vesicoureteral reflux (VUR) is a common congenital urinary tract anomaly in children, associated with recurrent urinary tract infections (UTIs) and lo...
BACKGROUND: Efficient community-based screening for individuals at high risk of mortality is a major public health challenge. While many predictors ha...
INTRODUCTION: High costs of screening and diagnostic tests remain a major barrier to timely tuberculosis (TB) identification in resource-limited setti...
PURPOSE: Generative artificial intelligence (GenAI) is rapidly emerging as a transformative technology in aphasia management, necessitating judicious ...
BACKGROUND: Adolescents face a variety of potential harms in the online environment, including exposure to distressing illegal material, cyberbullying...