Latest AI and machine learning research in domestic violence for healthcare professionals.
BACKGROUND: Assessment of idiopathic scoliosis (IS) relies on radiographs and measurement of coronal curve magnitude, but repeated radiation exposure raises safety concerns in children. Noninvasive surface topography (ST) combined with machine learning (ML) has emerged as a potential radiation-free alternative for estimating curve severity, predicting coronal curve magnitude (Cobb angle), and moni...
BACKGROUND: Artificial intelligence is increasingly applied to rehabilitation; however, persisting gaps in research, such as methodological heterogeneity, poor reporting, and lack of validation, reduce clinical translation. Living systematic reviews offer a dynamic approach to continuously monitor evolving evidence. The aim of this first update up to May 31st, 2025 is to expand current evidence ba...
Background Chest CT is a primary method for identifying pulmonary nodules, yet interpreting scans remains time-intensive and demanding. Currently, art...
BACKGROUND: MASLD is the most prevalent chronic liver disease worldwide, with pooled global prevalence estimates of approximately 30%. Current noninva...
Despite remarkable advances in robotic orthopaedic surgery over the past three decades, current commercial platforms remain precision-assistance techn...
INTRODUCTION: Personalization of Janus kinase inhibitor (JAKi) therapy in rheumatoid arthritis (RA) remains an unresolved clinical task. Multi-omics/m...
RATIONALE AND OBJECTIVES: To evaluate a two-stage workflow for large language model (LLM)-assisted Thyroid Imaging Reporting and Data System (TI-RADS)...
INTRODUCTION: Timely identification of Parkinson's disease (PD) is often delayed because of clinical heterogeneity and limited awareness of early symp...
OBJECTIVES: This systematic review aimed to investigate the current development and application landscape of generative artificial intelligence (Gen-A...
BACKGROUND/AIM: Risky alcohol use is common among university students and negatively impacts physical and psychosocial health. Current screening instr...
AIM: To compare the multidimensional performance of discharge instructions generated by generative AI (GPT-4) versus those created by clinical registe...
The therapeutic landscape of haematological malignancies has evolved rapidly with the introduction of targeted therapies, immunotherapies, and cell-ba...
White blood cell differential (WBC-Diff) scattergrams are used to screen for hematological abnormalities in potential hematopoietic malignancies and a...
Attention-deficit/hyperactivity disorder (ADHD) affects millions globally, yet current diagnostic approaches rely on subjective behavioral assessments...
PURPOSE: To evaluate the diagnostic accuracy, clinical utility, and workflow integration of artificial intelligence (AI)-assisted sonography for the a...
BACKGROUND: Oral and maxillofacial surgery (OMFS) has undergone rapid scientific evolution over the past decade, driven by technological innovation an...
BACKGROUND: Radiology departments frequently manage large, heterogeneous worklists using first-in, first-out (FIFO) reporting workflows. This approach...
Smartphone-based fundus imaging (SBFI) is an emerging approach with potential relevance for global ophthalmic care, including in low- and middle-incom...
INTRODUCTION: Diabetes affects 537 million people worldwide, with type 2 diabetes (T2D) estimated to account for most cases. Type 1 diabetes (T1D), la...
BACKGROUND: Technical errors during surgery are a major contributor to preventable adverse outcomes, driving demand for objective assessment tools. La...