Role of Artificial Intelligence in Retinal Diseases

被引：2

作者：

Mai, Julia ^{[1
]}

Schmidt-Erfurth, Ursula ^{[1
]}

机构：

[1] Med Univ Wien, Univ Klin Augenheilkunde & Optometrie, Wahringer Gurtel 18-20, A-1090 Vienna, Austria

来源：

KLINISCHE MONATSBLATTER FUR AUGENHEILKUNDE | 2024年 / 241卷 / 09期

关键词：

retina; optical coherence tomography; artificial intelligence; retinal imaging; OPTICAL COHERENCE TOMOGRAPHY; ANTI-VEGF THERAPY; MACULAR DEGENERATION; DIABETIC-RETINOPATHY; GEOGRAPHIC ATROPHY; VISUAL IMPAIRMENT; NEOVASCULAR AMD; AGE; VALIDATION; PREDICTION;

D O I：

10.1055/a-2378-6138

中图分类号：

R77 [眼科学];

学科分类号：

100212 ;

摘要：

Artificial intelligence (AI) has already found its way into ophthalmology, with the first approved algorithms that can be used in clinical routine. Retinal diseases in particular are proving to be an important area of application for AI, as they are the main cause of blindness and the number of patients suffering from retinal diseases is constantly increasing. At the same time, regular imaging using high-resolution modalities in a standardised and reproducible manner generates immense amounts of data that can hardly be processed by human experts. In addition, ophthalmology is constantly experiencing new developments and breakthroughs that require a re-evaluation of patient management in routine clinical practice. AI is able to analyse these volumes of data efficiently and objectively and also provide new insights into disease progression and therapeutic mechanisms by identifying relevant biomarkers. AI can make a significant contribution to screening, classification and prognosis of various retinal diseases and can ultimately be a clinical decision support system, that significantly reduces the burden on both everyday clinical practice and the healthcare system, by making more efficient use of costly and time-consuming resources.

引用

页码：1023 / 1031

页数：9

共 50 条

[1] Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices [J].

Abramoff, Michael D. ;

Lavin, Philip T. ;

Birch, Michele ;

Shah, Nilay ;

Folk, James C. .

NPJ DIGITAL MEDICINE, 2018, 1

[2] Deep Learning to Predict Geographic Atrophy Area and Growth Rate from Multimodal Imaging [J].

Anegondi, Neha ;

Gao, Simon S. ;

Steffen, Verena ;

Spaide, Richard F. ;

Sadda, SriniVas R. ;

Holz, Frank G. ;

Rabe, Christina ;

Honigberg, Lee ;

Newton, Elizabeth M. ;

Cluceru, Julia ;

Kawczynski, Michael G. ;

Bengtsson, Thomas ;

Ferrara, Daniela ;

Yang, Qi .

OPHTHALMOLOGY RETINA, 2023, 7 (03) :243-252

[3] The Value of Automated Diabetic Retinopathy Screening with the EyeArt System: A Study of More Than 100,000 Consecutive Encounters from People with Diabetes [J].

Bhaskaranand, Malavika ;

Ramachandra, Chaithanya ;

Bhat, Sandeep ;

Cuadros, Jorge ;

Nittala, Muneeswar G. ;

Sadda, Srinivas R. ;

Solanki, Kaushal .

DIABETES TECHNOLOGY & THERAPEUTICS, 2019, 21 (11) :635-643

[4]

Bogunovi H., Front Med (Lausanne), V9, P958469

[5]

Bogunovic H, 2018, INVEST OPHTH VIS SCI, V59

[6] Prediction of Anti-VEGF Treatment Requirements in Neovascular AMD Using a Machine Learning Approach [J].

Bogunovic, Hrvoje ;

Waldstein, Sebastian M. ;

Schlegl, Thomas ;

Langs, Georg ;

Sadeghipour, Amir ;

Liu, Xuhui ;

Gerendas, Bianca S. ;

Osborne, Aaron ;

Schmidt-Erfurth, Ursula .

INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2017, 58 (07) :3240-3248

[7]

Bressler NM, 2011, ARCH OPHTHALMOL-CHIC, V129, P709, DOI 10.1001/archophthalmol.2011.140

[8] Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks [J].

Burlina, Philippe M. ;

Joshi, Neil ;

Pekala, Michael ;

Pacheco, Katia D. ;

Freund, David E. ;

Bressler, Neil M. .

JAMA OPHTHALMOLOGY, 2017, 135 (11) :1170-1176

[9] Expert Diagnosis of Plus Disease in Retinopathy of Prematurity From Computer-Based Image Analysis [J].

Campbell, J. Peter ;

Ataer-Cansizoglu, Esra ;

Bolon-Canedo, Veronica ;

Bozkurt, Alican ;

Erdogmus, Deniz ;

Kalpathy-Cramer, Jayashree ;

Patel, Samir N. ;

Reynolds, James D. ;

Horowitz, Jason ;

Hutcheson, Kelly ;

Shapiro, Michael ;

Repka, Michael X. ;

Ferrone, Phillip ;

Drenser, Kimberly ;

Ana Martinez-Castellanos, Maria ;

Ostmo, Susan ;

Jonas, Karyn ;

Chan, R. V. Paul ;

Chiang, Michael F. .

JAMA OPHTHALMOLOGY, 2016, 134 (06) :651-657

[10] Evaluation of Multiple Machine Learning Models for Predicting Number of Anti-VEGF Injections in the Comparison of AMD Treatment Trials (CATT) [J].

Chandra, Rajat S. ;

Ying, Gui-shuang .

TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, 2023, 12 (01)

← 1 2 3 4 5 →