ArticleExpert review of molecular diagnostics2020
A CNN-aided method to predict glaucoma progression using DARC (Detection of Apoptosing Retinal Cells).
Article in Expert review of molecular diagnostics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 50 citations in OpenAlex.
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- Evaluation of Serum and Aqueous Humor Neurofilament Light Chain as Markers of Neurodegeneration in Glaucoma.Translational vision science & technology · 2025Article
- From Cellular to Metabolic: Advances in Imaging of Inherited Retinal Diseases.Diagnostics (Basel, Switzerland) · 2024Review
- Alzheimer's disease pathophysiology in the Retina.Progress in retinal and eye research · 2024Review
- Real-Time Imaging of Single Retinal Cell Apoptosis in a Non-Human Primate Ocular Hypertension Model.Translational vision science & technology · 2024Article
- Annexin-V binds subpopulation of immune cells altering its interpretation as anInternational journal of biological sciences · 2024Article
- TrialView: An AI-powered Visual Analytics System for Temporal Event Data in Clinical Trials.Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences · 2024Article
- Oxidative stress in the eye and its role in the pathophysiology of ocular diseases.Redox biology · 2023Review
- Oxidative Stress: A Suitable Therapeutic Target for Optic Nerve Diseases?Antioxidants (Basel, Switzerland) · 2023Review
- In Vivo Detection of Retinal Ganglion Cell Stress in Rodents with DARC.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Review: Emerging Eye-Based Diagnostic Technologies for Traumatic Brain Injury.IEEE reviews in biomedical engineering · 2023Review
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- Extraocular, periocular, and intraocular routes for sustained drug delivery for glaucoma.Progress in retinal and eye research · 2021Review
- Predicting Active NBA Players Most Likely to Be Inducted into the Basketball Hall of Famers Using Artificial Neural Networks in Microsoft Excel: Development and Usability Study.International journal of environmental research and public health · 2021Article
- Retinal imaging in Alzheimer's and neurodegenerative diseases.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2021Review
- Predicting wet age-related macular degeneration (AMD) using DARC (detecting apoptosing retinal cells) AI (artificial intelligence) technology.Expert review of molecular diagnostics · 2021Article
- Transformation of the Taiwan Biobank 3.0: vertical and horizontal integration.Journal of translational medicine · 2020Article
- Use of artificial intelligence in forecasting glaucoma progression.Taiwan journal of ophthalmologyReview
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundA key objective in glaucoma is to identify those at risk of rapid progression and blindness. Recently, a novel first-in-man method for visualising apoptotic retinal cells called DARC (Detection-of-Apoptosing-Retinal-Cells) was reported. The aim was to develop an automatic CNN-aided method of DARC spot detection to enable prediction of glaucoma progression.
methodsAnonymised DARC images were acquired from healthy control (n=40) and glaucoma (n=20) Phase 2 clinical trial subjects (ISRCTN10751859) from which 5 observers manually counted spots. The CNN-aided algorithm was trained and validated using manual counts from control subjects, and then tested on glaucoma eyes.
resultsThe algorithm had 97.0% accuracy, 91.1% sensitivity and 97.1% specificity to spot detection when compared to manual grading of 50% controls. It was next tested on glaucoma patient eyes defined as progressing or stable based on a significant (p<0.05) rate of progression using OCT-retinal nerve fibre layer measurements at 18 months. It demonstrated 85.7% sensitivity, 91.7% specificity with AUC of 0.89, and a significantly (p=0.0044) greater DARC count in those patients who later progressed.
conclusionThis CNN-enabled algorithm provides an automated and objective measure of DARC, promoting its use as an AI-aided biomarker for predicting glaucoma progression and testing new drugs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.