DeepLensNet: deep learning automated diagnosis and quantitative classification of cataract type and severity

TDL Keenan, Q Chen, E Agrón, YC Tham, JHL Goh… - Ophthalmology, 2022 - Elsevier
Purpose To develop deep learning models to perform automated diagnosis and quantitative
classification of age-related cataract from anterior segment photographs. Design …

Telemedicine for Cornea and External Disease: A Sco** Review of Imaging Devices

B Cao, CHV Vu, JD Keenan - Ophthalmology and Therapy, 2023 - Springer
Objective The objective of this sco** review is to understand the extent and type of
evidence in relation to telemedicine imaging devices for cornea and external segment …

Smartphone Slit Lamp Imaging—Usability and Quality Assessment

DR Muth, F Blaser, N Foa, P Scherm, WJ Mayer… - Diagnostics, 2023 - mdpi.com
Purpose: To assess the usability and image quality of a smartphone adapter for direct slit
lamp imaging. Methods: A single-center, prospective, clinical study conducted in the …

[HTML][HTML] Deep Learning-Based Analysis of Ocular Anterior Segment Diseases from Patient-Self-Captured Smartphone Images

B Gu, M Christopher, SH Lim, SL Baxter - Informatics, 2024 - mdpi.com
The goal of this study is to evaluate the Eye Home Clinic app (ver 1.0), which uses deep
learning models to assess the quality of self-captured anterior segment images and detect …

Smartphone co-aided cobalt blue anterior segment with intraocular lens photography

P Chandrakanth, S Verghese, P Shiroya… - Indian Journal of …, 2023 - journals.lww.com
In this report, we have utilized a smartphone-based innovative tool named anterior segment
photography with an intraocular lens (ASPI) with a cobalt blue filter on the smartphone flash …

Smartphone-Based Ophthalmic Imaging

A Sivaraman, DP Rao, S Nagarajan - Ophthalmic Diagnostics: Technology …, 2024 - Springer
Smartphones are ubiquitous assets in medical diagnostics [1]. The VISION 2020 “Right to
Sight” Global Initiative, introduced by the World Health Organization (WHO) and the …

[HTML][HTML] Red-Free (Green) Filter-Enhanced Gonioscopy with Smartphone: A Pilot Study

MI Iqbal - Cureus, 2024 - ncbi.nlm.nih.gov
Aim: This pilot study aimed to demonstrate the usefulness of the red-free (green) filter as a
novel modification for better iridocorneal angle visibility during routine gonioscopy. Methods …

[HTML][HTML] Commentary: Digital toxicity: Another side effect of COVID-19 pandemic

JD Akkara, A Kuriakose - Indian journal of ophthalmology, 2021 - journals.lww.com
The authors of 'Impact of the use of digital devices on eyes during the lockdown period of
COVID-19 pandemic',[1] conducted an online survey to find out the impact of COVID-19 …

The Slitscope

P Chandrakanth, JD Akkara, SM Joshi… - Indian Journal of …, 2024 - journals.lww.com
Slit lamp biomicroscope is the right hand of an Ophthalmologist. Even though precise, its
bulky design and complex working process are limiting constraints, making it difficult for …

Red-Free (Green) Filter-Enhanced Gonioscopy with Smartphone: A Pilot Study

IM Iftekher - Cureus, 2024 - search.proquest.com
Aim: This pilot study aimed to demonstrate the usefulness of the red-free (green) filter as a
novel modification for better iridocorneal angle visibility during routine gonioscopy. Methods …