OCT Angiography in X-Linked Retinoschisis
This case report provides a description of bullous retinoschisis using swept-source optical coherence tomography (OCT) in a 13-year-old boy diagnosed with X-linked retinoschisis.
JAMA Ophthalmology
Large Bilateral Exudative Retinal Detachments Related to Checkpoint Inhibitors
This case report discusses a diagnosis of exudative retinal detachment secondary to melanoma immunotherapy with the checkpoint inhibitors ipilimaud and nivolumab.
Axenfeld-Rieger Syndrome in an Infant
This case report discusses a diagnosis of Axenfeld-Rieger syndrome in an 8-month-old infant who presented with bilateral abnormal pupils, posterior embryotoxon, and dental abnormalities.
Epiretinal Hyperproliferative Complex
This case report discusses a diagnosis of epiretinal hyperproliferative complex in a male patient aged 75 years with a history of multiple myeloma who reported blurred vision in his left eye persisting after cataract surgery.
Progression of Presumed Pentosan Polysulfate Sodium Maculopathy After Drug Cessation
This case report discusses presumed progression of maculopathy secondary to pentosan polysulfate sodium prescribed for daily use over a period of 4 years in a patient with a history of interstitial cystitis.
Treatment of Orbital MALT With Local and Systemic Rituximab
This case report discusses a diagnosis of mucosa-associated lymphoid tissue (MALT) in a patient in their 60s with a 17-year history of a left eyelid and periorbital mass.
Optic Nerve Colobomatous Cyst in an Infant
This case report discusses a diagnosis of optic nerve colobomatous cyst diagnosed in an infant who presented with left exotropia and no accompanying systemic abnormalities.
Reticular Honeycomb Epithelial Corneal Edema Associated With Netarsudil
This case report discusses a diagnosis of reticular epithelial corneal edema in a male patient aged 57 years who presented with a sudden decrease in vision in his right eye, which was receiving treatment with netarsudil for neovascular glaucoma.
Clinician-Driven AI: Code-Free Self-Training on Public Data for Diabetic Retinopathy Referral
Importance Democratizing artificial intelligence (AI) enables model development by clinicians with a lack of coding expertise, powerful computing resources, and large, well-labeled data sets. Objective To determine whether resource-constrained clinicians can use self-training via automated machine learning (ML) and public data sets…
Automated Machine Learning for Predicting Diabetic Retinopathy Progression From Ultra-Widefield Retinal Images
Importance Machine learning (ML) algorithms have the potential to identify eyes with early diabetic retinopathy (DR) at increased risk for disease progression. Objective To create and validate automated ML models (autoML) for DR progression from ultra-widefield (UWF) retinal images. Design, Setting and…
