The simultaneous maturation of multiple digital and telecommunications technologies in
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …

Highlights•Big data has affected several sectors including biomedicine, life sciences and
scientific research.•Genetics and genomics information are key enablers for predictive and …

Abstract Background Computer Aided Diagnosis (CAD), which can automate the detection
process for ocular diseases, has attracted extensive attention from clinicians and …

Globally, cases of myopia have reached epidemic levels. High myopia and pathological
myopia (PM) are the leading cause of visual impairment and blindness in China, demanding …

With the continuous development of computer technology, big data acquisition and imaging
methods, the application of artificial intelligence (AI) in medical fields is expanding. The use …

Objective In this work, we have developed a learning system capable of exploiting
information conveyed by longitudinal Electronic Health Records (EHRs) for the prediction of …

Artificial intelligence (AI) and machine learning (ML) have entered several avenues of
modern life, and health care is just one of them. Ophthalmology is a field with a lot of …

Pathological Myopia (PM) is a globally prevalent eye disease which is one of the main
causes of blindness. In the long-term clinical observation, myopic maculopathy is a main …

Purpose: To develop deep learning models based on color fundus photographs that can
automatically grade myopic maculopathy, diagnose pathologic myopia, and identify and …

Myopia is a serious threat to eye health and can even cause blindness. It is important to
grade myopia and carry out targeted intervention. Nowadays, various studies using deep …