Latest AI and machine learning research in information technology for healthcare professionals.
Accurate prediction of suicide risk is crucial for identifying patients with elevated risk burden, h...
OBJECTIVE: This study aims to automate the prediction of Mini-Mental State Examination (MMSE) scores...
BACKGROUND: Acute hepatic porphyria (AHP) is a group of rare but treatable conditions associated wit...
Advancements in machine learning (ML) are making artificial intelligence more feasible in dermatolog...
OBJECTIVE: This systematic review aimed to provide a comprehensive overview of the application of ma...
Hypertension is one of the most important chronic diseases worldwide. Hypertension is a critical con...
The paper describes a cohort of patients with post-acute COVID-19 syndrome, evaluated for the first ...
SUMMARY: The vast generation of genetic data poses a significant challenge in efficiently uncovering...
While Fast Healthcare Interoperability Resources (FHIR) clinical terminology server enables quick an...
OBJECTIVES: To evaluate the proficiency of a HIPAA-compliant version of GPT-4 in identifying actiona...
OBJECTIVE: The use of electronic health records (EHRs) for clinical risk prediction is on the rise. ...
Clinical decision support systems for Nursing Process (NP-CDSSs) help resolve a critical challenge i...
Electronic Health Records (EHRs) contain a wealth of unstructured patient data, making it challengin...
Heart failure poses a significant global health burden with high prevalence and mortality rates. A p...
In this paper, we present the preliminary experiments for the development of an ingestion mechanism ...
Computer-mediated clinical consultation, involving clinicians, electronic health record (EHR) system...
This study addresses the challenge of leveraging free-text descriptions in Electronic Health Records...
The integration of artificial intelligence (AI) algorithms into clinical practice holds immense pote...
Secure extraction of Personally Identifiable Information (PII) from Electronic Health Records (EHRs)...
This paper explores the critical role of Interoperability (IOP) in the integration of Artificial Int...
Ontology is essential for achieving health information and information technology application intero...