Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
Lung cancer is the leading cause of cancer death globally, and low-dose computed tomography (LDCT) screening reduces lung cancer mortality. The NHS England Lung Cancer Screening Programme is the largest national LDCT implementation to date, with over 2.5 million invitations issued, 7,193 cancers diagnosed and 63.1% detected at stage I in its first five-year evaluation. We describe the technical an...
Artificial intelligence (AI) is increasingly applied to bioink formulation and bioprinting process control in tissue engineering (TE). Yet, translational progress remains constrained by small datasets, limited cross-platform validation, and weak links between computational predictions and biological outcomes. This review critically evaluates experimentally validated AI applications across scaffold...
This dual-center study evaluated the impact of artificial intelligence (AI) on urine culture turnaround times in Canadian diagnostic laboratories usin...
Assessing the environmental mobility of pharmaceuticals is critical for robust chemical hazard assessment, yet experimental sorption data are often li...
BACKGROUND: Ovarian cancer (OC) is a highly fatal gynecologic malignancy with complex management challenges and limited long-term survival for advance...
BACKGROUND: Child abuse severely disrupts the healthy growth and development of children, resulting in long-term physical as well as emotional consequ...
Tight glycemic control reduces acute complications (hypoglycemia, hyperglycemia) and long-term microvascular/macrovascular risks. The application of A...
BACKGROUND: Optimal timing of extubation in mechanically ventilated patients remains a major challenge in intensive care. Machine learning (ML) models...
Diffusion models have emerged as state-of-the-art generative models, capable of producing high-quality synthetic outputs. These generated contents ser...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is emerging as the most common chronic liver disorder worldwide. However, most of the...
BACKGROUND: Inherited PLN (phospholamban) R14del variants cause dilated cardiomyopathy with a high burden of malignant ventricular arrhythmias. Howeve...
OBJECTIVE: To argue that diagnostic and predictive AI should be evaluated by both classification performance and the downstream work their outputs cre...
INTRODUCTION: Trigger tool methodologies have become important approaches for detecting adverse events in hospital care because they identify more har...
Image quantification is central to modern biomedical research. However, the reproducibility of image-based studies remains a persistent challenge due ...
BACKGROUND: Accurate reporting in nuclear medicine is essential for clinical decision-making. Trainees often generate preliminary reports with variabl...
The rapid emergence of generative artificial intelligence (GenAI) in higher education has prompted critical discussions regarding its impact on facult...
Triple-negative breast cancer (TNBC) is classified as an immunologically cold tumor, which markedly weakens the therapeutic efficacy of immune checkpo...
BACKGROUND: Machine learning (ML), deep learning (DL) and other predictive modelling approaches are increasingly applied to predict antiretroviral the...
The key challenge in traffic flow prediction lies in modeling complex spatio-temporal dependencies effectively. While graph neural networks have shown...
The recent rapid development of mobile and wearable sensing technologies and computational modeling has allowed for high-density and continuous measur...