Latest AI and machine learning research in domestic violence for healthcare professionals.
INTRODUCTION: A cross-sectional comparative device study to compare the Eyerobo Vision Screener (VS), a portable handheld photorefractor, against a conventional auto-refractor for machine-learning-based prediction of cycloplegic spherical equivalent (SE) and power vector components (J0, J45) in a pediatric myopia cohort, to evaluate whether supplementary IOL Master biometry narrows the performance...
PURPOSE: Artificial intelligence (AI)-enabled software as a medical device (SaMD) is increasingly used across clinical specialties, but its governance remains difficult because adaptive systems raise ongoing concerns about version control, subgroup performance reporting, and postmarket performance drift. This scoping review examined the ethical and regulatory issues surrounding AI-enabled SaMD acr...
RATIONALE AND OBJECTIVES: Interval breast cancers (IBCs) occur after false-negative (FN) screening mammograms and can be diagnostically challenging. T...
OBJECTIVE: Emotion regulation influences psychological responses to trauma, with event-related rumination affecting the development of posttraumatic s...
Clinical drug development suffers from high rates of toxicity-related failure despite the use of compound-centric preclinical safety screening, with a...
BACKGROUND: Appendicitis severity underpins contemporary management guidelines, where laparoscopic appendectomy remains gold standard. Preoperative me...
Programmed death-ligand 1 (PD-L1) expression, commonly quantified as tumour proportion score (TPS), is a key biomarker guiding immunotherapy in non-sm...
OBJECTIVE: Policy surveillance typically involves detailed, time-consuming manual screening of policies for inclusion in a final dataset. This screeni...
PURPOSE: Diabetic retinopathy (DR) screening is essential to prevent vision loss, yet rising diabetes prevalence threatens to outpace ophthalmology ca...
Mining impacted waters in West Africa are mixed chemical systems in which mining-derived Hg-Pb-Cd signals, geogenic As-Fe-Mn mobilisation, acid mine d...
OBJECTIVES: To develop and internally evaluate a YOLO-based model for fine-grained localization and classification of dental trauma subtypes. METHODS:...
INTRODUCTION: Central venous cannulation is essential for life-saving interventions including resuscitation of critically ill patients, hemodynamic mo...
Benchmarking AI chatbots using structured questions derived from the EFP S3-level guideline for stage IV periodontitis showed high clarity but variabl...
BACKGROUND: Surgical site outcome (SSO) reporting lacks details of management, focuses on infection, and overlooks dehiscence, seroma and haematoma. A...
Generative AI, particularly large language models (LLMs), is reshaping clinical workflows in dermatology. However, cloud-based commercial models pose ...
BACKGROUND: Palliative care is increasingly recognized as essential for an aging population and rising life-limiting illnesses. Machine learning (ML) ...
OBJECTIVE: Artificial intelligence (AI) is increasingly utilized for screening within ophthalmology, yet its application in rural communities remains ...
Diabetic retinopathy (DR) is a leading cause of preventable blindness worldwide. The rising prevalence of diabetes has strained conventional screening...
BACKGROUND: Artificial intelligence (AI) uses in the field of bariatric and metabolic surgery (BMS) have evolved over the past few years. However, pub...
BACKGROUND: Voice-based deep learning models for Parkinson disease (PD) and dementia screening report areas under the curve (AUCs) of 0.85-0.97, but r...