Afe Victor Dania1 * and Chinedu Uchenna Azubuike2
1 Department of Optometry, Abia State University, Nigeria 2 Department of Ophthalmology, Alex Ekwueme Federal University Teaching Hospital, NigeriaFulltext PDF
Clinical optometry is the bedrock of optometric practice, as proper diagnosis provides room for adequate and timely management of eye and vision disorders for optimal visual health and prevention of avoidable blindness. As a result, patients, practitioners, tech-enthusiasts, and all players in the eye and healthcare industry continually seek safe, relatively fast, objective, reliable, and repeatable ways to make eye care service delivery more efficient. Some of the ever-increasing advances towards achieving these include the use of Artificial Intelligence (AI) in monitoring devices such as the Eyebox (for concussion diagnosis) and the IDx-DR (for fundus assessment), and the Ultra-Wide-Field (UWF) technology, in retinal scanning. Artificial intelligence provides excellent human-like interactions with software and offers decision support for specific tasks while ultra-wide-field technology in retinal scanning increases the expanse of retina that can be captured at a time. This article attempts to highlight the strengths of these cutting-edge contributions from academics, researchers, and clinical practitioners over already established ones, and also provides specific references for additional reading. However, in view of the proliferation of several devices acclaimed by their manufacturers and promoters to aid in the diagnosis and management of several conditions of medical interest, the scope of this work is limited to technological advances in eye care and instrumentation in clinical optometry, with a focus on computerized ophthalmic diagnostic and imaging techniques that have been approved by the US FDA in recent years, with sufficient backup information regarding their successful randomized clinical trials and subsequent approval.
Artificial intelligence; Clinical optometry; Diagnosis; Eye care instrumentation; Noninvasive ophthalmic imaging
Dania AV, Azubuike CU. Technological Advances in Eye Care/Instrumentation in Clinical Optometry: Computerized Ophthalmic Diagnostic and Imaging Techniques. J Clin Ophthalmol Eye Disord. 2022; 6(1): 1042..