Latest AI and machine learning research in information technology for healthcare professionals.
The integration of mobile health (mHealth) technologies into decentralized clinical trials (DCTs) ma...
Logistics networks are becoming increasingly complex and rely more heavily on real-time vehicle data...
Rare diseases, such as Mucopolysaccharidosis (MPS), present significant challenges to the healthcare...
To analyze the structural and temporal evolution of artificial intelligence (AI) and digital health ...
The fast development of Internet of Things (IoT) tools in smart cities has presented many advantages...
Internal threats are becoming more common in today's cybersecurity landscape. This is mainly because...
Digital twin (DT) technology is revolutionizing clinical practice by integrating diverse epidemiolog...
This study explores how artificial intelligence technologies can enhance the regulatory capacity for...
Chemotherapy-induced peripheral neuropathy (CIPN) is a common and debilitating adverse effect of ca...
Modern radiology relies entirely on digital imaging systems. Healthcare records draw cybercriminals'...
Personalised nutrition (PN) has emerged as an approach to optimise individual health outcomes throug...
This mixed-methods study evaluated clinicians' user experience (UX) with Generative AI (GenAI) in El...
Myocardial infarction (MI) remains one of the greatest contributors to mortality, and patients admit...
The rapid adoption of Federated Learning (FL) in privacy-sensitive domains such as healthcare, IoT, ...
We present CAMELSH (Catchment Attributes and Hourly HydroMeteorology for Large-Sample Studies), the ...
Advances in robotic surgery are being driven by the convergence of technologies such as artificial i...
Malware that exploits user privacy has increased in recent decades, and this trend has been linked t...
BACKGROUND: The American Medical Association recommends that electronic health record (EHR) notes, o...
Deep learning models for diagnostic applications require large amounts of sensitive patient data, ra...
This study enhances cybersecurity risk assessment by integrating Bayesian Networks (BN) and Logistic...
Imbalanced datasets in Industrial Internet of Things (IIoT) environments pose a serious challenge fo...