A generative adversarial network (GAN) is one of the most significant research directions in
the field of artificial intelligence, and its superior data generation capability has garnered …

Artificial Intelligence (AI) algorithms are increasingly providing decision making and
operational support across multiple domains. AI includes a wide (and growing) library of …

With the identification of novel targets, the number of interventional clinical trials in
ophthalmology has increased. Visual acuity has for a long time been considered the gold …

In the medical literature, promising results regarding accuracy of medical AI are presented
as claims for its potential to increase efficiency. This elision of concepts is misleading and …

Retinal optical coherence tomography (OCT) images provide fundamental information
regarding the health of the posterior eye (eg, the retina and choroid). Thus, the development …

Importance Sensitive outcome measures for disease progression are needed for treatment
trials in geographic atrophy (GA) secondary to age-related macular degeneration (AMD) …

Preservation of photoreceptors beyond areas of retinal pigment epithelium atrophy is a
critical treatment goal in eyes with geographic atrophy (GA) to prevent vision loss. Thus, we …

Accurate identification and localization of multiple abnormalities are crucial steps in the
interpretation of chest X-rays (CXRs); however, the lack of a large CXR dataset with …

Purpose To evaluate the diagnostic accuracy of machine learning (ML) techniques applied
to radiomic features extracted from OCT and OCT angiography (OCTA) images for diabetes …

Early diagnosis of oral cancer is critical to improve the survival rate of patients. The current
strategies for screening of patients for oral premalignant and malignant lesions unfortunately …