Latest AI and machine learning research in information technology for healthcare professionals.
OBJECTIVES: This study evaluated the impact of an electronic health record (EHR) system enhanced wit...
The Internet of Vehicles (IoV) has emerged as a transformative technology for intelligent transporta...
Machine learning, particularly through advanced imaging techniques such as three-dimensional Magneti...
This paper examines the medical response to four significant burn disasters in the North Carolina: t...
Artificial intelligence (AI) has emerged as a transformative force in the management of movement dis...
BackgroundAlzheimer's disease (AD), marked by progressive memory loss and cognitive decline, poses d...
The integration of artificial intelligence into clinical practice is rapidly transforming health car...
With the rise Artificial Intelligence (AI), mitigation strategies may be needed to integrate AI-enab...
Ontologies are structured frameworks for representing knowledge by systematically defining concepts,...
In the contemporary technological world, fortifying cybersecurity defense against dynamic threat lan...
Healthcare 5.0, driven by the Internet of Medical Things (IoMT), introduces transformative changes i...
This study presents a real-time implementation of an accelerated Hurst Contour Projection from Multi...
The utilization of large language model-based artificial intelligence (AI) in the field of neurology...
BACKGROUND: Fast Healthcare Interoperability Resources (FHIR) is a widely used standard for storing ...
The swift development of the Internet of Things (IoT) devices has created a pressing need for effect...
Neuroimaging screening and surveillance is one of the first frontline diagnostic tools leveraged in ...
OBJECTIVES: This study examines the ethical and privacy challenges of integrating generative artific...
Sarcomas, a rare and complex group of cancers, require multidisciplinary care across multiple health...
(Quantitative) structure-activity relationships ((Q)SARs) are widely used in chemical safety assessm...
Microneedles (MNs) offer a minimally invasive alternative to conventional patch-based and injection-...
Missing data in electronic health records (EHRs) poses a significant challenge for analysis. This st...