[HTML][HTML] Age-related macular degeneration: epidemiology, pathophysiology, diagnosis, and treatment

H Vyawahare, P Shinde - Cureus, 2022 - ncbi.nlm.nih.gov
The greatest global root of irremediable amaurosis in the venerable is age-related macular
degeneration (AMD), a complex eye condition. Clinically, AMD is characterized as being in …

Artificial intelligence in retinal imaging: current status and future prospects

KA Heger, SM Waldstein - Expert review of medical devices, 2024 - Taylor & Francis
Introduction The steadily growing and aging world population, in conjunction with
continuously increasing prevalences of vision-threatening retinal diseases, is placing an …

Topographic and quantitative correlation of structure and function using deep learning in subclinical biomarkers of intermediate age-related macular degeneration

K Birner, GS Reiter, I Steiner, G Deák, H Mohamed… - Scientific Reports, 2024 - nature.com
To examine the morphological impact of deep learning (DL)-quantified biomarkers on point-
wise sensitivity (PWS) using microperimetry (MP) and optical coherence tomography (OCT) …

[HTML][HTML] Artificial intelligence analysis of biofluid markers in age-related macular degeneration: a systematic review

A Pucchio, SH Krance, DR Pur… - Clinical …, 2022 - ncbi.nlm.nih.gov
This systematic review explores the use of artificial intelligence (AI) in the analysis of biofluid
markers in age-related macular degeneration (AMD). We detail the accuracy and validity of …

[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 …

Artificial intelligence, heuristic biases, and the optimization of health outcomes: cautionary optimism

M Feehan, LA Owen, IM McKinnon… - Journal of Clinical …, 2021 - mdpi.com
The use of artificial intelligence (AI) and machine learning (ML) in clinical care offers great
promise to improve patient health outcomes and reduce health inequity across patient …

Treatment Avenues for Age-Related Macular Degeneration: Breakthroughs and Bottlenecks

P Kumbhar, K Kolekar, S Vishwas, P Shetti… - Ageing Research …, 2024 - Elsevier
Age-related macular degeneration (AMD) is a significant factor contributing to serious vision
loss in adults above 50. The presence of posterior segment barriers serves as chief …

Defining the structure–function relationship of specific lesions in early and advanced age-related macular degeneration

TF Tan, CL Yap, CL Peterson, D Wong, TY Wong… - Scientific Reports, 2024 - nature.com
The objective of this study is to define structure–function relationships of pathological lesions
related to age-related macular degeneration (AMD) using microperimetry and multimodal …

A machine learning framework for the quantification of experimental uveitis in murine OCT

Y Mellak, A Achim, A Ward, L Nicholson… - Biomedical optics …, 2023 - opg.optica.org
This paper presents methods for the detection and assessment of non-infectious uveitis, a
leading cause of vision loss in working age adults. In the first part, we propose a …

Retinal sensitivity changes in early/intermediate AMD: a systematic review and meta-analysis of visual field testing under mesopic and scotopic lighting

M Trinh, M Kalloniatis, SK Khuu, L Nivison-Smith - Eye, 2024 - nature.com
Visual fields under mesopic and scotopic lighting are increasingly being used for macular
functional assessment. This review evaluates its statistical significance and clinical …