Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
BACKGROUND: Prior authorization (PA) is intended to support appropriate use and spending of services and medications, yet 1 in 6 insured adults report PA-related problems linked to delayed care, worse access, and higher financial burden. As artificial intelligence (AI) expands in utilization management and other pharmacy benefit operations, evidence guiding responsible AI use in PA remains fragmen...
AIM: To compare the multidimensional performance of discharge instructions generated by generative AI (GPT-4) versus those created by clinical registered nurses across three dimensions-accuracy, empathy and readability-and to explore the impact of patient. DESIGN: A prospective, double-blind, vignette-based cross-sectional study. METHODS: Five standardized multidisciplinary discharge scenarios wer...
The therapeutic landscape of haematological malignancies has evolved rapidly with the introduction of targeted therapies, immunotherapies, and cell-ba...
PURPOSE: To evaluate the diagnostic accuracy, clinical utility, and workflow integration of artificial intelligence (AI)-assisted sonography for the a...
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...
Potentially toxic elements (PTEs) in soils pose persistent risks to ecosystems, groundwater, and food systems, creating a need for reliable spatial as...
INTRODUCTION: Machine learning (ML) models have been increasingly applied to support the diagnosis of bloodstream infections (BSI), particularly throu...
BACKGROUND: Machine learning (ML) has emerged as a promising tool for predicting diabetic kidney disease (DKD), yet the performance and clinical utili...
Mildly elevated CA19-9 levels (typically 37-300 U mL-1) define a diagnostic grey zone that fuels both patient anxiety and overdiagnosis, yet many nano...
BACKGROUND: Traditional morbidity and mortality (M&M) conferences incompletely capture postoperative complications, potentially limiting quality impro...
BACKGROUND: Rehabilitation clinical practice guidelines (CPGs) have increased rapidly, but inconsistent methodological quality limits their implementa...
Generative artificial intelligence (GenAI) can perform strongly on written anatomy examinations, but whether such scores represent anatomical competen...
Antiphospholipid syndrome (APS) lacks disease-modifying targeted therapies, and its molecular heterogeneity remains poorly characterized. We employed ...
Three-dimensional reconstruction of the knee plays an important role in orthopedic surgery and clinical decision-making, enabling precise implant plan...
PURPOSE: Artificial intelligence (AI)-enabled software as a medical device (SaMD) is increasingly used across clinical specialties, but its governance...
Programmed death-ligand 1 (PD-L1) expression, commonly quantified as tumour proportion score (TPS), is a key biomarker guiding immunotherapy in non-sm...
OBJECTIVES: Preoperative prediction of perineural invasion (PNI) in rectal cancer (RC) is challenging due to limited MRI resolution and the neglect of...
Benchmarking AI chatbots using structured questions derived from the EFP S3-level guideline for stage IV periodontitis showed high clarity but variabl...
Magnetic resonance imaging (MRI) has reshaped the evaluation of axial spondyloarthritis (axSpA), which comprises radiographic axSpA (historically anky...