Latest AI and machine learning research in information technology for healthcare professionals.
Central banks are actively exploring retail central bank digital currencies (CBDCs), with the Bank...
The integration of artificial intelligence (AI) and machine learning (ML) into healthcare systems ...
Large language models (LLMs) can extract information from veterinary electronic health records (EH...
OBJECTIVE: The use of electronic health records (EHRs) for clinical risk prediction is on the rise. ...
OBJECTIVES: To evaluate the proficiency of a HIPAA-compliant version of GPT-4 in identifying actiona...
We tackle three optimization problems in which a colored graph, where each node is assigned a colo...
This article presents our experience in development an ontological model can be used in clinical dec...
Emergency departments (EDs) are pivotal in detecting child abuse and neglect, but this task is often...
Ontology is essential for achieving health information and information technology application intero...
This paper explores the critical role of Interoperability (IOP) in the integration of Artificial Int...
Secure extraction of Personally Identifiable Information (PII) from Electronic Health Records (EHRs)...
The integration of artificial intelligence (AI) algorithms into clinical practice holds immense pote...
This study addresses the challenge of leveraging free-text descriptions in Electronic Health Records...
Computer-mediated clinical consultation, involving clinicians, electronic health record (EHR) system...
In this paper, we present the preliminary experiments for the development of an ingestion mechanism ...
Heart failure poses a significant global health burden with high prevalence and mortality rates. A p...
Electronic Health Records (EHRs) contain a wealth of unstructured patient data, making it challengin...
Clinical decision support systems for Nursing Process (NP-CDSSs) help resolve a critical challenge i...
This paper presents an innovative approach utilizing in-memory computing (IMC) for the development...
Privacy research has attracted wide attention as individuals worry that their private data can be ...
The present research investigates how to improve Network Intrusion Detection Systems (NIDS) by com...