Latest AI and machine learning research in surveillance for healthcare professionals.
. There is a growing number of publications on the application of unpaired image-to-image (I2I) tran...
Total hysterectomy is one of the most common gynecologic surgical procedures and it is mainly perfo...
Medical device reliability is the ability of medical devices to endure functioning and is indispensa...
The CONSORT 2010 statement provides minimum guidelines for reporting randomized trials. Its widespre...
BACKGROUND: Rates of child maltreatment (CM) obtained from electronic health records are much lower ...
PURPOSE: The Checklist for Artificial Intelligence in Medical Imaging (CLAIM) is a recently released...
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...
BACKGROUND: Rapid diagnostic tests (RDTs) are being widely used to manage COVID-19 pandemic. However...
An increasing number of studies have reported using natural language processing (NLP) to assist obse...
BACKGROUND AND OBJECTIVES: Myocardial infarction scar (MIS) assessment by cardiac magnetic resonance...
BACKGROUND: As opioid prescriptions have risen, there has also been an increase in opioid use disord...
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...