Diabetic retinopathy (DR) is a common microvascular complication of diabetes mellitus.
Optical coherence tomography angiography (OCTA) has been developed to visualize the …

Deep learning (DL), a subset of artificial intelligence (AI) based on deep neural networks,
has made significant breakthroughs in medical imaging, particularly for image classification …

Retinal blood vessels provide information on the risk of cardiovascular disease (CVD). Here,
we report the development and validation of deep-learning models for the automated …

Retinal optical coherence tomography (OCT) imaging is a valuable tool for assessing the
condition of the back part of the eye. The condition has a great effect on the specificity of …

Artificial intelligence (AI) has great potential to transform healthcare by enhancing the
workflow and productivity of clinicians, enabling existing staff to serve more patients …

Artificial intelligence (AI), in particular deep learning (DL), has gained significant interest
recently from healthcare systems. DL has been widely applied to detect and classify major …

Purpose To develop and validate a multimodal artificial intelligence algorithm, FusionNet,
using the pattern deviation probability plots from visual field (VF) reports and circular …

Artificial intelligence is a multidisciplinary and collaborative science, the ability of deep
learning for image feature extraction and processing gives it a unique advantage in dealing …

This study aimed to develop an artificial intelligence model that can detect mesiodens on
panoramic radiographs of various dentition groups. Panoramic radiographs of 612 patients …

Abstract By 2040,~ 100 million people will have glaucoma. To date, there are a lack of high-
efficiency glaucoma diagnostic tools based on visual fields (VFs). Herein, we develop and …