Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
Radiomics applied to two-dimensional breast ultrasound has emerged as a potential noninvasive approach for differentiating benign from malignant breast lesions; however, its diagnostic accuracy and methodological reliability remain uncertain. This PRISMA-DTA-compliant systematic review and meta-analysis (PROSPERO CRD420251149769) synthesized evidence from observational studies published between 20...
Deep learning (DL) is increasingly applied to automate brain tumor classification from magnetic resonance imaging (MRI), yet meaningful clinical deployment remains limited by tumor heterogeneity, dataset bias, and incomplete tumor-specific validation. This systematic review synthesizes developments from 2016 to 2025 in advanced DL-based MRI brain tumor classification, with a specific emphasis on m...
While data assets are increasingly recognized as strategic resources in the digital economy, their implications for financial reporting quality remain...
Employee turnover prediction is a critical challenge in human resource management. Existing studies emphasise predictive accuracy but generally treat ...
BACKGROUND: Artificial intelligence (AI) holds considerable promise for strengthening sexual, reproductive and maternal health (SRMH) by enhancing dia...
Active surveillance (AS) is widely used for men with low-risk and selected favorable intermediate-risk prostate cancer, but pathways remain heterogene...
PURPOSE: This study aimed to determine if an integrated structured reporting (SR) tool incorporating results from artificial intelligence (AI) enabled...
OBJECTIVE: To benchmark zero-shot generative pre-trained transformer (GPT)-based multimodal large language models (MLLMs) for pressure injury (PI) sta...
PURPOSE: To evaluate whether semiquantitative striatal [¹²³I]FP-CIT SPECT-derived metrics improve clinical differentiation of degenerative parkinsonis...
OBJECTIVE: Electroencephalography (EEG) source localization is an ill-posed inverse problem in which conventional methods often rely on static anatomi...
BACKGROUND: Artificial intelligence (AI), particularly generative AI and large language models, is increasingly used for assessment-related tasks in m...
Muscle injuries account for approximately 31% of all time-loss injuries in professional football, yet existing prediction models are constrained by sm...
The combinations of Convolutional Neural Networks (CNNs) and Transformer have shown promising results in many medical image segmentation tasks. Howeve...
Music engages sensory, motor, cognitive, and emotional systems, making it a powerful model for studying experience-dependent neuroplasticity. Although...
The incremental value of multiparametric MRI (mpMRI) in prostate cancer staging has been increasingly recognized, with the accumulated literature indi...
PURPOSE OF REVIEW: Cardio-oncology has emerged as a pivotal discipline aimed at preserving cardiovascular health in patients undergoing contemporary c...
BACKGROUND: Artificial intelligence (AI)-enabled decision support systems are increasingly used in emergency departments and intensive care units to s...
With the recent upgrades of synchrotron facilities and an increasing demand for artificial intelligence (AI)-ready scientific datasets, there is a gro...
Citizen science plays an increasingly important role in generating scientific knowledge and supporting environmental and social action. However, its p...
Air pollution is closely related to the incidence and prognosis of hepatocellular carcinoma (HCC); however, the mechanisms remain elusive. Therefore, ...