Artificial intelligence in retinal disease: clinical application, challenges, and future directions

M Daich Varela, S Sen, TAC De Guimaraes… - Graefe's Archive for …, 2023 - Springer
Retinal diseases are a leading cause of blindness in developed countries, accounting for
the largest share of visually impaired children, working-age adults (inherited retinal …

Deep learning applications to classification and detection of age-related macular degeneration on optical coherence tomography imaging: a review

ND Koseoglu, A Grzybowski, TYA Liu - Ophthalmology and Therapy, 2023 - Springer
Age-related macular degeneration (AMD) is one of the leading causes of blindness in the
elderly, more commonly in developed countries. Optical coherence tomography (OCT) is a …

Automated deep learning-based AMD detection and staging in real-world OCT datasets (PINNACLE study report 5)

O Leingang, S Riedl, J Mai, GS Reiter, G Faustmann… - Scientific reports, 2023 - nature.com
Real-world retinal optical coherence tomography (OCT) scans are available in abundance
in primary and secondary eye care centres. They contain a wealth of information to be …

Validation of an automated artificial intelligence algorithm for the quantification of major OCT parameters in diabetic macular edema

E Midena, L Toto, L Frizziero, G Covello… - Journal of clinical …, 2023 - mdpi.com
Artificial intelligence (AI) and deep learning (DL)-based systems have gained wide interest
in macular disorders, including diabetic macular edema (DME). This paper aims to validate …

Performance of retinal fluid monitoring in OCT imaging by automated deep learning versus human expert grading in neovascular AMD

M Pawloff, BS Gerendas, G Deak, H Bogunovic… - Eye, 2023 - nature.com
Purpose To evaluate the reliability of automated fluid detection in identifying retinal fluid
activity in OCT scans of patients treated with anti-VEGF therapy for neovascular age-related …

Faricimab in Neovascular AMD complicated by pigment epithelium detachment: an AI-Assisted evaluation of early morphological changes

D Veritti, V Sarao, M Gonfiantini, L Rubinato… - Ophthalmology and …, 2024 - Springer
Introduction This study investigates the early temporal changes in pigment epithelial
detachment (PED) morphology following treatment with faricimab in patients with …

[HTML][HTML] The impact of artificial intelligence on retinal disease management: Vision Academy retinal expert consensus

C Danese, AU Kale, T Aslam, P Lanzetta… - Current opinion in …, 2023 - journals.lww.com
It is likely that current clinical practice will need to change following the application of AI-
enabled medical devices. These devices are likely to have an impact on the management of …

Integrating artificial intelligence into an ophthalmologist's workflow: obstacles and opportunities

P Taribagil, HDJ Hogg, K Balaskas… - Expert Review of …, 2023 - Taylor & Francis
Introduction Demand in clinical services within the field of ophthalmology is predicted to rise
over the future years. Artificial intelligence, in particular, machine learning-based systems …

A systematic evaluation of human expert agreement on optical coherence tomography biomarkers using multiple devices

M Michl, M Neschi, A Kaider, K Hatz, G Deak… - Eye, 2023 - nature.com
Objectives To assess the agreement in evaluating optical coherence tomography (OCT)
variables in the leading macular diseases such as neovascular age-related macular …

[HTML][HTML] Long-term effect of fluid volumes during the maintenance phase in neovascular age-related macular degeneration: results from Fight Retinal Blindness!

GS Reiter, V Mares, O Leingang, P Fuchs… - Canadian Journal of …, 2024 - Elsevier
Objective To investigate the effect of macular fluid volumes (subretinal fluid [SRF],
intraretinal fluid [IRF], and pigment epithelium detachment [PED]) after initial treatment on …