Latest AI and machine learning research in surveillance for healthcare professionals.
INTRODUCTION: Focal therapy (FT) has emerged as an intermediate therapeutic strategy between active ...
BACKGROUND AND OBJECTIVE: White blood cells (WBCs) are key biomarkers of immune status, but current ...
OBJECTIVE: To evaluate the diagnostic accuracy and workflow efficiency of BioticsAI-anatomyUNet-0.1-...
PURPOSE: To develop and validate a neural network-based Kid's Listening Performance Checklist (KLiP)...
OBJECTIVE: This narrative review synthesizes machine learning (ML) applications across the stroke an...
OBJECTIVES: To systematically review the evidence on the cost-effectiveness of artificial intelligen...
BACKGROUND: Asthma is the most common chronic disease in children. Suboptimal asthma control is prev...
BACKGROUND: The aim of this study was to construct a machine learning (ML) model to predict the effe...
BACKGROUND: A 24-hour urine collection is central to the metabolic evaluation and prevention of neph...
Prostate cancer remains a major global burden; diagnostic pathways rely on prostate-specific antigen...
BACKGROUND: Botulism is a rare but potentially fatal illness caused by botulinum neurotoxin, with ou...
BACKGROUND: Venous thromboembolism (VTE) and cancer exhibit a bidirectional correlation. The probabi...
An increasing number of Artificial intelligence (AI) and machine learning (ML) models are being deve...
BACKGROUND: Effective cancer symptom management significantly impacts patient outcomes and quality o...
BACKGROUND: Oral health is vital for children's overall well-being. Parents play a critical role in ...
Real-world evidence (RWE), derived from real-world data, offers key insights into metabolic dysfunct...
Artificial intelligence (AI) has become increasingly integrated into dental diagnostics, imaging and...
This study extends universal differential equation (UDE) frameworks by integrating the Kolmogorov-Ar...
We conducted a retrospective study to evaluate the performance of 5 large language models in detecti...
Molecular diagnostics have transformed clinical microbiology by enabling rapid, accurate, and highly...
Pesticides are suspected to cause health effects in humans, but human-based data on their toxicity a...