Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Predicting the risk of stroke is one of the critical problems in healthcare, which necessitates effi...
With the arrival of the new wave of artificial intelligence, emotional intelligence has broad applic...
As the backbone of global communication infrastructure, optical fibers carry vast amounts of sensiti...
This study investigates the two-dimensional unsteady flow of a Sutterby fluid over a stretching surf...
Deep learning has recently made remarkable progress in remote sensing image segmentation, with hybri...
Generative artificial intelligence (AI) is rapidly reshaping how nursing students produce and commun...
This article presents a Prairie-wide spatial vector dataset of agricultural field boundaries across ...
Space-Air-Ground Integrated Networks (SAGIN) supporting Industrial Internet of Things (IIoT) applica...
BACKGROUND: Cognitive decline in the aging population presents an unprecedented challenge worldwide....
OBJECTIVE: Current automatic segmentation models in radiotherapy, which are predominantly unimodal a...
Lumbar spine disorders represent a significant public health concern, with accurate diagnosis relyin...
Time-varying quadratic programming (TVQP) problems can be regarded as a challenging issue in a wide ...
Keyword-based search is widely used in digital forensic investigations, yet its effectiveness depend...
Aspect Sentiment Triplet Extraction (ASTE) is an emerging subtask of Aspect-Based Sentiment Analysis...
Wireless Sensor Networks (WSN) are widely used across various fields. WSN is composed of many low-co...
BACKGROUND: Artificial intelligence (AI) is increasingly influencing medical student education, with...
BACKGROUND AND OBJECTIVE: Cerebral aneurysms affect 2-5% of the global population and pose a signifi...
Large language models (LLMs) have emerged in recent years as innovative artificial intelligence syst...
Efficient computation of the boundary of convex sets defined by mappings subject to explicit constra...
The limited data availability due to strict privacy regulations and significant resource demands sev...
Accurate classification of electrocardiogram (ECG) signals is essential for automated arrhythmia det...