Latest AI and machine learning research in cultural competence for healthcare professionals.
Artificial intelligence (AI) tools for digital pathology have crossed the threshold from pilot project to clinical deployment, with regulatory approvals, commercial products and prospective trials now accumulating across multiple tumour types. However, global-scale implementation demands careful evaluation of both opportunities and challenges. Traditional histopathology faces mounting pressures in...
The reliability and service life of steel products are largely dependent on the quality of the steel strip, so it is crucial to accurately identify its surface defects. Steel strip surface defect data collected from actual industrial scenarios is often limited and mostly unlabeled, so researchers often use Generative Adversarial Networks (GANs) for data augmentation while introducing semi-supervis...
BACKGROUND: Diabetic peripheral neuropathy (DPN) is a common complication of diabetes and an important contributor to foot ulceration and lower limb a...
Sex estimation from skeletal remains is fundamental to forensic identification. The first rib demonstrates enhanced preservation through superior cort...
BACKGROUND: Gestational diabetes mellitus (GDM) significantly increases the risk of developing type 2 diabetes mellitus (T2DM) post partum, with up to...
OBJECTIVES: An evidence synthesis informed the 2023 WHO infection prevention and control (IPC) guideline for Ebola disease (EBOD) and Marburg disease ...
Early identification of social-emotional difficulties in preschool children is critical for timely intervention, yet conventional assessment methods f...
OBJECTIVE: To systematically evaluate existing risk prediction models for autogenous arteriovenous fistula (AVF) dysfunction in maintenance hemodialys...
BACKGROUND: Obstructive sleep apnea (OSA) affects 38% of the population, yet over 90% of cases remain undiagnosed. The gold standard for diagnosis, po...
BACKGROUND: Machine learning (ML), deep learning (DL) and other predictive modelling approaches are increasingly applied to predict antiretroviral the...
BACKGROUND: Forensic age estimation is frequently requested when chronological age is unknown or contested. While automated bone age systems have been...
BACKGROUND: Facial assessment is central to treatment planning and outcome evaluation. Traditional approaches, including visual inspection, manual ant...
Radiomics applied to two-dimensional breast ultrasound has emerged as a potential noninvasive approach for differentiating benign from malignant breas...
BACKGROUND: Heatstroke (HS) encompasses acute multi-organ dysfunction and increases susceptibility to subsequent heat-related conditions, making timel...
Understanding the mechanisms driving aboveground biomass (AGB) variation in forest ecosystems is essential for biodiversity conservation and climate-c...
Machine learning models have dual use potential, potentially serving both beneficial and malicious purposes. The development of open-source models in ...
Generative artificial intelligence (AI) has rapidly advanced over the past decade in the field of drug discovery, particularly for the de novo design ...
BACKGROUND: The Pederson difficulty score (PDS) is widely used to assess mandibular third molar extraction difficulty, but is subject to interobserver...
Antimicrobial resistance in aquaculture threatens environmental and public health, but the risk of ARGs cannot be inferred from abundance alone; host ...
Dental age estimation in adults represents an important component of forensic odontology and medicolegal practice. Recent artificial intelligence (AI)...