The field of ophthalmic imaging has grown substantially over the last years. Massive
improvements in image processing and computer hardware have allowed the emergence of …

Artificial intelligence (AI) has shown excellent diagnostic performance in detecting various
complex problems related to many areas of healthcare including ophthalmology. AI …

Artificial Intelligence is a rapidly expanding field within computer science that encompasses
the emulation of human intelligence by machines. Machine learning and deep learning–two …

Our study aims to develop an effective integrated machine learning (ML) scheme to predict
vascular events and bleeding in patients with nonvalvular atrial fibrillation taking dabigatran …

The prevalence of osteoporosis has drastically increased recently. It is not only the most
frequent but is also a major global public health problem due to its high morbidity. There are …

Pada penelitian ini dilakukan perancangan arsitektur Convolutional Neural Network (CNN)
yang terdiri dari 5 layer konvolusi dan 1-fully connected layer untuk mengklasifikasikan citra …

The urine albumin–creatinine ratio (uACR) is a warning for the deterioration of renal function
in type 2 diabetes (T2D). The early detection of ACR has become an important issue …

In this paper, various machine learning algorithms were used in order to predict the
evolution of open-angle glaucoma (POAG). The datasets were built containing clinical …

BACKGROUND The incidence of chronic kidney disease (CKD) has dramatically increased
in recent years, with significant impacts on patient mortality rates. Previous studies have …

Background and objectives Optical coherence tomography (OCT) has ushered in a
transformative era in the domain of ophthalmology, offering non-invasive imaging with high …