Latest AI and machine learning research in surveillance for healthcare professionals.
Stress is an increasingly prevalent mental health condition across the world. In Europe, for example...
The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by p...
INTRODUCTION: Many researchers used machine learning (ML) to predict the prognosis of breast cancer ...
Lateral pelvic lymph node dissection (LPLND) in rectal cancer has gained increasing traction worldwi...
This study evaluated the performance of the Vitek 2 Advanced Expert System (AES) confidence level re...
Advances in machine learning have widened the range of its applications in many fields. In particula...
This article presents an analysis of European smart city narratives and how they evolved under the p...
At the beginning of the COVID-19 pandemic, there was significant hype about the potential impact of ...
Artificial intelligence (AI)-based approaches can now use electrocardiograms (ECGs) to provide exper...
An increasing number of studies have reported using natural language processing (NLP) to assist obse...
BACKGROUND: Air pollution epidemiology has primarily relied on measurements from fixed outdoor air q...
As formal causal inference begins to play a greater role in disciplines that intersect with pharmaco...
The analysis of registry data has important implications for cancer monitoring, control, and treatme...
The detection of adverse drug reactions (ADRs) is critical to our understanding of the safety and ri...
Gait identification based on Deep Learning (DL) techniques has recently emerged as biometric technol...
Few studies classified and predicted hypertension using blood pressure (BP)-related determinants in ...
Rapid detection of intracranial haemorrhage (ICH) is crucial for assessing patients with neurologica...
Correspondence analysis (CA) is a multivariate statistical tool used to visualize and interpret data...
This work proposes a new system capable of real-time ship instance segmentation during maritime surv...
Automated interictal epileptiform discharge (IED) detection has been widely studied, with machine le...
Combining deep learning image analysis methods and large-scale imaging datasets offers many opportun...