Purpose The application of artificial intelligence (AI) in ophthalmology has shown significant
promise across various clinical domains. This study addresses the need for assessing the …

Background and objective As a common chronic disease, diabetes is called the “second
killer” among modern diseases. Currently, there is no medical cure for diabetes. We can only …

In this paper, we explore the possibility of exploiting retrospective clinical data from
Electronic Health Records (EHR) for classification tasks in chronic patients. The different …

Objective Diabetes mellitus is a global epidemic disease. Long-time exposure of patients to
hyperglycemia can lead to various type of chronic tissue damage. Early diagnosis of and …

The purpose of this study was to explore the related research progress of ocular
complications (OCs) caused by type 2 diabetes mellitus (T2DM), tear and tarsal function …

Clinical event sequences consist of hundreds of clinical events that represent records of
patient care in time. Developing accurate predictive models of such sequences is of a great …

Background: Early detection and intervention are crucial for preventing vision-threatening
diabetic retinopathy (DR) in adults with type 1 diabetes (T1D). This exploratory study uses …

Diabetes mellitus is a dangerous global epidemic that can cause kidney failure, heart attack,
blindness, and death. The main cause of this disease is too high blood sugar levels due to …

This paper presents a novel approach to predict caries development in dental patients by
analyzing event interval sequences extracted from electronic health records (EHRs) …