Background: Chronic diseases are putting huge pressure on health care systems. Nurses
are widely recognized as one of the competent health care providers who offer …

Artificial intelligence (AI) use in diabetes care is increasingly being explored to personalise
care for people with diabetes and adapt treatments for complex presentations. However, the …

AI is a broad concept, grouping initiatives that use a computer to perform tasks that would
usually require a human to complete. AI methods are well suited to predict clinical outcomes …

Background Machine learning–enabled clinical information systems (ML-CISs) have the
potential to drive health care delivery and research. The Fast Healthcare Interoperability …

Diabetes is a chronic prevalent disease that must be managed to improve the patient's
quality of life. However, the limited healthcare management resources compared to the large …

Chronic diseases typically require long-term management through healthy lifestyle practices
and pharmacological intervention. Although efficacious treatments exist, disease control is …

Aim The aim of this review is to examine the effectiveness of artificial intelligence in
predicting multimorbid diabetes‐related complications. Background In diabetic patients …

Over the last couple of years, in the context of the COVID-19 pandemic, many healthcare
issues have been exacerbated, highlighting the paramount need to provide both reliable …

Artificial intelligence (AI) algorithms can provide actionable insights for clinical decision-
making and managing chronic diseases. The treatment and management of complex …

Objective Our objective was to develop an evaluation framework for electronic health record
(EHR)-integrated innovations to support evaluation activities at each of four information …