Latest AI and machine learning research in domestic violence for healthcare professionals.
BACKGROUND: Emerging evidence suggests that artificial intelligence (AI) can increase cancer detecti...
Glaucoma detection from fundus images often relies on biomarkers such as the Cup-to-Disc Ratio (CDR)...
Doping control screening analyses usually involve visual inspection of extracted ion chromatograms (...
BACKGROUND: Despite the poor outcomes related to the presence of pulmonary hypertension, it often go...
UNLABELLED: Early detection of diabetic retinopathy is critical for preventing vision loss.
BACKGROUND: Reducing mortality among severe trauma patients requires the establishment of an effecti...
BACKGROUND AND OBJECTIVE: This study evaluated optometrists' referral patterns for epiretinal membra...
Here, we present a protocol for the rapid functional screening of gene editing and addition strategi...
Through batch and fixed-bed column operations, nickel ions were extracted from a contaminated aqueou...
Biomarkers for discrimination among different subgroups of idiopathic inflammatory myopathies (IIM) ...
OBJECTIVE: To develop and validate a deep learning model for diabetic macular edema (DME) detection ...
AIMS: We evaluated the cost-effectiveness of artificial intelligence (AI)-based diabetic retinopathy...
Early detection of breast cancer plays a crucial role in reducing the number of cases diagnosed at a...
Surface wastewater originates from various sources, including domestic, commercial, and industrial a...
This scoping review focuses on the evolution of pre-analytical errors (PAEs) in medical laboratories...
The high volume of emergency room patients often necessitates head CT examinations to rule out ische...
AIM: Spine fractures are a frequent and relevant diagnosis, but systematic documentation is time-con...
PurposeArtificially Intelligent (AI) chatbots have the potential to produce information to support s...
Non-enhanced head computed tomography is widely used for patients presenting with head trauma or str...
PURPOSE: The potential of Large Language Models (LLMs) in enhancing a variety of natural language ta...
BACKGROUND: While universal screening for Lipoprotein(a) [Lp(a)] is increasingly recommended, <0.5% ...