Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
Background Automated interpretation of normal chest radiographs could alleviate the workload of radi...
BACKGROUND AND AIMS: EGD is essential for GI disorders, and reports are pivotal to facilitating post...
. There is a growing number of publications on the application of unpaired image-to-image (I2I) tran...
Medical device reliability is the ability of medical devices to endure functioning and is indispensa...
Sentiment analysis refers to the mining of textual context, which is conducted with the aim of ident...
The CONSORT 2010 statement provides minimum guidelines for reporting randomized trials. Its widespre...
PURPOSE: The Checklist for Artificial Intelligence in Medical Imaging (CLAIM) is a recently released...
The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by p...
With the development of artificial intelligence (AI) in the field of drug design and discovery, lear...
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...
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...
The emergence of massively parallel yet affordable computing devices has been a game changer for res...
There is a large proliferation of complex data-driven artificial intelligence (AI) applications in m...
The detection of adverse drug reactions (ADRs) is critical to our understanding of the safety and ri...
Neural architecture search (NAS) is gaining more and more attention in recent years because of its f...
Unsupervised graph-level representation learning has recently shown great potential in a variety of ...
OBJECTIVES: To compare the diagnostic performance of a novel deep learning (DL) method based on T2-w...