Development and Validation of a Smartphone-Based Visual Acuity Test (Peek Acuity) for Clinical Practice and Community-Based Fieldwork.

IMPORTANCE: Visual acuity is the most frequently performed measure of visual function in clinical practice and most people worldwide living with visual impairment are living in low- and middle-income countries. OBJECTIVE: To design and validate a smartphone-based visual acuity test that is not dependent on familiarity with symbols or letters commonly used in the English language. DESIGN, SETTING, AND PARTICIPANTS: Validation study conducted from December 11, 2013, to March 4, 2014, comparing results from smartphone-based Peek Acuity to Snellen acuity (clinical normal) charts and the Early Treatment Diabetic Retinopathy Study (ETDRS) logMAR chart (reference standard). This study was nested within the 6-year follow-up of the Nakuru Eye Disease Cohort in central Kenya and included 300 adults aged 55 years and older recruited consecutively. MAIN OUTCOMES AND MEASURES: Outcome measures were monocular logMAR visual acuity scores for each test: ETDRS chart logMAR, Snellen acuity, and Peek Acuity. Peek Acuity was compared, in terms of test-retest variability and measurement time, with the Snellen acuity and ETDRS logMAR charts in participants' homes and temporary clinic settings in rural Kenya in 2013 and 2014. RESULTS: The 95% CI limits for test-retest variability of smartphone acuity data were ±0.033 logMAR. The mean differences between the smartphone-based test and the ETDRS chart and the smartphone-based test and Snellen acuity data were 0.07 (95% CI, 0.05-0.09) and 0.08 (95% CI, 0.06-0.10) logMAR, respectively, indicating that smartphone-based test acuities agreed well with those of the ETDRS and Snellen charts. The agreement of Peek Acuity and the ETDRS chart was greater than the Snellen chart with the ETDRS chart (95% CI, 0.05-0.10; P = .08). The local Kenyan community health care workers readily accepted the Peek Acuity smartphone test; it required minimal training and took no longer than the Snellen test (77 seconds vs 82 seconds; 95% CI, 71-84 seconds vs 73-91 seconds, respectively; P = .13). CONCLUSIONS AND RELEVANCE: The study demonstrated that the Peek Acuity smartphone test is capable of accurate and repeatable acuity measurements consistent with published data on the test-retest variability of acuities measured using 5-letter-per-line retroilluminated logMAR charts

A review of feature-based retinal image analysis

Retinal imaging is a fundamental tool in ophthalmic diagnostics. The potential use of retinal imaging within screening programs, with consequent need to analyze large numbers of images with high throughput, is pushing the digital image analysis field to find new solutions for the extraction of specific information from the retinal image. The aim of this review is to explore the latest progress in image processing techniques able to recognize specific retinal image features. and potential features of disease. In particular, this review aims to describe publically available retinal image databases, highlight different performance evaluators commonly used within the field, outline current approaches in feature-based retinal image analysis, and to map related trends. This review found two key areas to be addressed for the future development of automatic retinal image analysis: fundus image quality and the affect image processing may impose on relevant clinical information within the images. Performance evaluators of the algorithms reviewed are very promising, however absolute values are difficult to interpret when validating system suitability for use within clinical practice

Live teleophthalmology avoids escalation of referrals to secondary care during COVID-19 lockdown

Clinical relevance: Following the COVID-19 lockdown, uptake of slitlamp-enabled live teleophthalmology increased. Its use contributed to a reduction of referrals escalated to secondary care during-lockdown (avoided: 64% pre-lockdown vs 86% during-lockdown). Background: Live teleophthalmology using video conferencing allows real-time, three-way consultation between secondary care, community providers and patients, improving interpretation of slit lamp findings and potentially reducing referrals to secondary care. NHS Forth Valley implemented live teleophthalmology in March 2019. In March 2020, the COVID-19 pandemic created urgency to deliver ophthalmic care while minimising the risk of contracting or spreading the disease. We aim to compare the uptake and two outcomes (number of avoided secondary care referrals; pattern of presenting conditions) of live teleophthalmology consultations in NHS Forth Valley before and during the COVID-19 national lockdown. Methods: An NHS secure video conferencing platform connected the video slit lamps of optometrists, or an iPad mounted on a slit lamp and viewing through the eyepieces, to a secondary care ophthalmologist via a virtual live clinic/waiting area. Data about avoiding a secondary care referral were extracted from a post-consultation ophthalmologist survey for 14 months of data. Pre- and during-lockdown intervals were before/after 23 March 2020, when routine eyecare appointments were suspended. Numbers of avoided referrals to secondary care and patterns of presenting conditions were compared for pre- and during-lockdown periods. Results: The COVID-19 pandemic markedly increased use of live teleophthalmology in NHS Forth Valley. Surveys were completed for 164 of 250 (66%) teleophthalmology consultations over the study period. Data from 154 surveys were analysed, 78 and 76 for the pre- and during-lockdown periods, respectively. Significantly more during-lockdown (86%) than pre-lockdown (64%; difference 21%, 95% CI 8–34%, p = 0.001) surveys indicated that referrals to secondary care were avoided. Conclusion: Survey data from ophthalmologists suggest significantly fewer escalations to secondary care due to teleophthalmology use

How the smartphone is driving the eye-health imaging revolution

The digitization of ophthalmic images has opened up a number of exciting possibilities within eye care such as automated pathology detection, as well as electronic storage and transmission. However, technology capable of capturing digital ophthalmic images remains expensive. We review the latest progress in creating ophthalmic imaging devices based around smartphones, which are readily available to most practicing ophthalmologists and other medical professionals. If successfully developed to be inexpensive and to offer high-quality imaging capabilities, these devices will have huge potential for disease detection and reduction of preventable blindness across the globe. We discuss the specific implications of such devices in high-, middle-and low-income settings