Latest AI and machine learning research in risk management for healthcare professionals.
According to the main international guidelines, patients with obesity and psychiatric/psychological ...
The widespread adoption of robotic technologies in healthcare has opened up new perspectives for enh...
In vivo assessments of influenza A virus (IAV) pathogenicity and transmissibility in ferrets represe...
In positron emission tomography (PET) and X-ray computed tomography (CT), reducing radiation dose ca...
The nuclear envelope can form complex structures in physiological and pathological contexts. Current...
This article explores the ethical issues arising from ordinary AI applications currently used in men...
To increase early identification and intervention of dyslexia, a prescreening instrument is critical...
Since their invention, tissue expanders, which are designed to trigger additional skin growth, have ...
This paper studies an optimal synchronous control protocol design for nonlinear multi-agent systems ...
This paper addresses the asynchronous control problem for semi-Markov reaction-diffusion neural netw...
The application of Artificial intelligence (AI) and machine learning (ML) tools in total (TKA) and u...
PURPOSE: To compare the utility of thin-slice fat-suppressed single-shot T2-weighted imaging (T2WI) ...
The δ-conotoxins, a class of peptides produced in the venom of cone snails, are of interest due to t...
Artificial intelligence (AI) based predictive models for early detection of cardiovascular disease (...
BACKGROUND: Primary care physicians are at the forefront of the clinical process that can lead to di...
Virtual reality (VR) technology is often referred to as the 'ultimate empathy machine' due to its ca...
BACKGROUND: The effective management of trauma patients necessitates efficient triaging, timely acti...
Though artificial intelligence (AI) is being widely implemented in gastroenterology (GI) and hepatol...
INTRODUCTION: Pakistan has significantly strengthened its capacity for active case finding (ACF) for...
BACKGROUND: The reporting of adverse events (AEs) relating to medical devices is a long-standing are...
BACKGROUND: Pediatric asthma is a heterogeneous disease; however, current characterizations of its s...