Artificial intelligence applications in different imaging modalities for corneal topography.

Interpretation of topographical maps used to detect corneal ectasias requires a high level of expertise. Several artificial intelligence (AI) technologies have attempted to interpret topographic maps. The purpose of this study is to provide a review of AI algorithms in corneal topography from the perspectives of an eye care professional, a biomedical engineer, and a data scientist.

Smartphone applications in ophthalmology: A quantitative analysis.

Purpose: There is limited information in literature about the scope and usability of Smartphone Applications (Apps) in ophthalmology. Eye care professionals are therefore skeptical about the benefits of smartphone Apps and are reluctant to adopt it in their day to day practice. The purpose of this study was to provide an updated overview of all Apps exclusive to ophthalmology.

Clinical and microbiological study of paediatric infectious keratitis in South India: a 3-year study (2011-2013).

Purpose: To study the risk factors, microbiological profile and clinical outcomes of infectious keratitis affecting paediatric patients.

Study Design: Retrospective case series.

Methods: Review of case records of paediatric patients (0-16 years) diagnosed with infectious keratitis who presented to Aravind Eye Hospital, Madurai, India during January 2011 to December 2013.