Inferior altitudinal visual loss and mask-wearing practices: A case series.

Face mask-wearing practices and their impact on the visual field bear particular importance in the coronavirus disease 2019 (COVID-19) pandemic era. This case series examines 10 participants with no history of ocular impairment or visual field defects who underwent age-corrected visual field testing in both eyes with different types of face masks. Wearing duckbill N95 masks was consistently associated with increased accuracy errors in the inferior altitudinal visual field when compared to wearing surgical masks or no masks. These findings support public health guidance that has previously attributed the risks of falls and accidents to face mask wearing.

Artificial iris exchange.

PURPOSE: To describe the indications, motivations, and outcomes of artificial iris exchange. SETTING: Stein Eye Institute. DESIGN: Consecutive case series. METHODS: Review of medical records of patients implanted with an artificial iris device who underwent a subsequent artificial iris exchange. RESULTS: Five patients were identified: 4 women and 1 man. Their ages ranged from 19 to 58 years at the time of the exchange. One patient had congenital aniridia; the other 4 had acquired iris defects. Three exchanges were simultaneous; 2 were consecutive. Corneal decompensation was the most common indication for the surgery precipitating the exchange. Explanted iris devices included models from Ophtec, Morcher, BrightOcular, and HumanOptics. Replacement models were from Morcher and HumanOptics. Three of the original irides were passively fixated in the capsular bag or ciliary sulcus. All of the replacement irides were suture-fixated to the sclera, either directly or secondarily by way of an intraocular lens. The motivation for the exchange was improved cosmesis in 4 patients and sustained cosmesis in 1 patient. Final visual acuities were 20/25 for 2 patients, 20/100 for 1 patient, and hand motion for 2 patients. CONCLUSIONS: No 2 iris exchanges were similar. Clinical indications and outcomes varied considerably from patient to patient. A common thread was each patient's motivation to maintain or improve on the functional and cosmetic benefits of having been previously implanted with an artificial iris device. Final visual acuity results were often poor because of the effects of comorbidities, especially glaucoma and corneal decompensation.

A Review of Machine Learning Techniques for Keratoconus Detection and Refractive Surgery Screening.

Various machine learning techniques have been developed for keratoconus detection and refractive surgery screening. These techniques utilize inputs from a range of corneal imaging devices and are built with automated decision trees, support vector machines, and various types of neural networks. In general, these techniques demonstrate very good differentiation of normal and keratoconic eyes, as well as good differentiation of normal and form fruste keratoconus. However, it is difficult to directly compare these studies, as keratoconus represents a wide spectrum of disease. More importantly, no public dataset exists for research purposes. Despite these challenges, machine learning in keratoconus detection and refractive surgery screening is a burgeoning field of study, with significant potential for continued advancement as imaging devices and techniques become more sophisticated.