Latest AI and machine learning research in information technology for healthcare professionals.
The rapid integration of artificial intelligence (AI) into healthcare has raised many concerns about race bias in AI models. Yet, overlooked in this dialogue is the lack of quality control for the accuracy of patient race and ethnicity (r/e) data in electronic health records (EHR). This article critically examines the factors driving inaccurate and unrepresentative r/e datasets. These include conc...
The rapid advancement of the 5G technology is catalyzing a paradigm shift in the realm of remote surgery, offering the potential to overcome geographical constraints and to realize optimized allocation of global healthcare resources. We review the evolution of telesurgery, from early pioneering efforts to recent advancements made possible by 5G networks, which offer low latency and high data trans...
OBJECTIVES: This study evaluated the impact of an electronic health record (EHR) system enhanced with artificial intelligence and machine learning (EH...
BACKGROUND: Climate change, driven by greenhouse gas emissions, threatens human health and biodiversity. While the digitalization of health care, incl...
Denial of Wallet (DoW) attacks are one kind of cyberattack whose goal is to develop and expand the financial sources of a group by causing extreme cos...
Advanced Cyber-Physical Systems (CPS) that facilitate seamless communication between humans, machines, and objects are revolutionizing industrial auto...
Telemedicine has become an increasingly important component of musculoskeletal care, with recent advances in virtual physical examinations, enhanced p...
BACKGROUND: Candida endophthalmitis (CE) and chorioretinitis are uncommon but potentially devastating complications of candidemia, associated with sig...
Machine learning, particularly through advanced imaging techniques such as three-dimensional Magnetic Resonance Imaging (MRI), has significantly impro...
The Internet of Vehicles (IoV) has emerged as a transformative technology for intelligent transportation systems, enabling real-time communication bet...
Artificial intelligence (AI) has emerged as a transformative force in the management of movement disorders. This review explores the various applicati...
This paper examines the medical response to four significant burn disasters in the North Carolina: the Pope Air Force Base disaster, the ConAgra/Garne...
BackgroundAlzheimer's disease (AD), marked by progressive memory loss and cognitive decline, poses diagnostic challenges due to its multifactorial nat...
The integration of artificial intelligence into clinical practice is rapidly transforming health care workflows. At the forefront are large language m...
Healthcare 5.0, driven by the Internet of Medical Things (IoMT), introduces transformative changes in the medical field but also exposes systems to gr...
In the contemporary technological world, fortifying cybersecurity defense against dynamic threat landscapes is imperative. Malware detectors play a cr...
Ontologies are structured frameworks for representing knowledge by systematically defining concepts, categories, and their relationships. While widely...
With the rise Artificial Intelligence (AI), mitigation strategies may be needed to integrate AI-enabled medical software responsibly, ensuring ethical...
BACKGROUND: Digitalization in urology is bringing about profound changes. While artificial intelligence (AI)-supported diagnoses, telemedical consulta...
The utilization of large language model-based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance ...