Retina Discovery Group

Out now on @BMJ_Ophth 📣 Our study, led by @abraham_olvera1, analysing the prevalence of visual impairment compared to certification of visual impairment (CVI) in patients with diabetic retinopathy (DR). bjo.bmj.com/content/early/…

🔬 New Research Alert: A new publication led by Claudia Liang Peng. The first report of bilateral non-vasogenic cystoid macular oedema and outer retinal columnar abnormalities (ORCA) in the context of dense deposit disease: journals.lww.com/retinalcases/a…

📣Recently published - A Deep Learning Framework for the Detection and Quantification of Reticular Pseudodrusen and Drusen on Optical Coherence Tomography. This work is part of our initiative to unlock the mystery of RPD using #AI. More to come soon!

We have found a marked under-registration of visual impairment of 84% in patients with DR at the largest centre for ophthalmic treatment in England.

Certification of visual impairment (CVI) is a valuable tool to provide assistance for patients and also to measure the causes and rates of visual disability in the UK. Certification is voluntary and must be started by an ophthalmologist.

Out now on @BMJ_Ophth 📣 Our study, led by @abraham_olvera1, analysing the prevalence of visual impairment compared to certification of visual impairment (CVI) in patients with diabetic retinopathy (DR). bjo.bmj.com/content/early/…

@caisaram @PhilippLMuller Yes! Definitely possible. It would require training a new algorithm but the technology is similar.

@PhilippLMuller @RetinaDiscovery Would it be possible to use similar technology for other types of IRDs like RP?

Honoured to have participated in this study investigating the application of #AI in retinal diseases. Worth reading! Quantification of key retinal features in early and late age-related macular degeneration using deep learning ajo.com/article/S0002-… @RetinaDiscovery

I was honoured to (virtually) speak this morning at the #EURETINA2022 conference about the results of our study on reticular pseudodrusen and plans for the future. Thank you @EURETINA for supporting this important endeavour!

It is of great importance to detect dry AMD early, as treatments aim to slow down the progression rather than reversing it. Atrophy begins outside the fovea; a 25-50% progression reduction rate can delay foveal encroachment for years. @adnan_tufail1 #EURETINA2022

This important study, led by @PhilippLMuller, @adnan_tufail1, @aaronylee, Yuka Kihara, @abraham_olvera1, Katie Williams, @AlasdairWarwick, and Cathy Egan offers new directions for future myopia and macula research. 🧵 4/4

We also investigated associations for dome-shaped macular configuration, and showed that it is significantly more common than reported before, especially in emmetropic and hypermetropic eyes. 🧵 3/4

📣Out now on @ARVOiovs! Using an automated machine learning model, we analysed the macular curvature on OCT in 65,023 subjects from the @uk_biobank. 🧵 1/4 iovs.arvojournals.org/article.aspx?a…

How common is common? New insights into Macular Curvature and Dome-Shaped Configuration based on data from the unique UK Biobank. This may open new fields to future #myopia and #macula research! @RetinaDiscovery iovs.arvojournals.org/article.aspx?a…

I'll be presenting our deep learning framework for the detection and quantification of RPD and drusen at #arvo2022 on Wednesday. Come say hi!

Our recent publication is now on @BMJ_Open, highlighting the importance of patient care even during a pandemic to preserve functional vision. Brilliant work by @AlasdairWarwick and others! bmjopen.bmj.com/content/12/4/e…

Now published: Estimating excess visual loss from neovascular age-related macular degeneration in the UK during the COVID-19 pandemic: a retrospective clinical audit and simulation model bmjopen.bmj.com/content/12/4/e… Well done @AlasdairWarwick, Darren Thomas. @RetinaDiscovery

New publication now in preprint - a deep learning framework for the identification and quantification of RPD and drusen on OCT scans! Unlocking the mystery of RPD using #AI arxiv.org/abs/2204.02406

📣I'm delighted to report that our paper describing the first #AI framework to identify and quantify drusen and #RPD on OCT scans is now in preprint! @RetinaDiscovery @uk_biobank @Moorfields @MoorfieldsBRC @cdt_ai_health arxiv.org/abs/2204.02406

Visit our latest blog post for a sneak preview of our deep learning model. Developed by @royschwartz and funded by @EURETINA, It is the first model to accurately detect and quantify drusen and reticular pseudodrusen with high accuracy. bit.ly/3y0hAd3 @Moorfields