scholarly journals Artificial intelligence-based decision-making for age-related macular degeneration

Theranostics ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 232-245 ◽  
Author(s):  
De-Kuang Hwang ◽  
Chih-Chien Hsu ◽  
Kao-Jung Chang ◽  
Daniel Chao ◽  
Chuan-Hu Sun ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Macular Degeneration ◽  
Age Related Macular Degeneration ◽  
Age Related

scholarly journals Development of a Deep-Learning-Based Artificial Intelligence Tool for Differential Diagnosis between Dry and Neovascular Age-Related Macular Degeneration

Diagnostics ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 261
Author(s):  
Tae-Young Heo ◽  
Kyoung Min Kim ◽  
Hyun Kyu Min ◽  
Sun Mi Gu ◽  
Jae Hyun Kim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Differential Diagnosis ◽  
Deep Learning ◽  
Macular Degeneration ◽  
Data Augmentation ◽  
Treatment Strategies ◽  
Image Data ◽  
Age Related Macular Degeneration ◽  
Age Related ◽  
Leave One Out

The use of deep-learning-based artificial intelligence (AI) is emerging in ophthalmology, with AI-mediated differential diagnosis of neovascular age-related macular degeneration (AMD) and dry AMD a promising methodology for precise treatment strategies and prognosis. Here, we developed deep learning algorithms and predicted diseases using 399 images of fundus. Based on feature extraction and classification with fully connected layers, we applied the Visual Geometry Group with 16 layers (VGG16) model of convolutional neural networks to classify new images. Image-data augmentation in our model was performed using Keras ImageDataGenerator, and the leave-one-out procedure was used for model cross-validation. The prediction and validation results obtained using the AI AMD diagnosis model showed relevant performance and suitability as well as better diagnostic accuracy than manual review by first-year residents. These results suggest the efficacy of this tool for early differential diagnosis of AMD in situations involving shortages of ophthalmology specialists and other medical devices.

Applications of Artificial Intelligence for the Diagnosis, Prognosis, and Treatment of Age-related Macular Degeneration

2020 ◽  
Vol 60 (4) ◽  
pp. 147-168
Author(s):  
Louis Cai ◽  
John W. Hinkle ◽  
Diego Arias ◽  
Richard J. Gorniak ◽  
Paras C. Lakhani ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Macular Degeneration ◽  
Age Related Macular Degeneration ◽  
Age Related

scholarly journals Artificial intelligence for morphology-based function prediction in neovascular age-related macular degeneration

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Leon von der Emde ◽  
Maximilian Pfau ◽  
Chantal Dysli ◽  
Sarah Thiele ◽  
Philipp T. Möller ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Macular Degeneration ◽  
Function Prediction ◽  
Age Related Macular Degeneration ◽  
Age Related

Artificial Intelligence in Age-Related Macular Degeneration (AMD)

2021 ◽  
pp. 101-112
Author(s):  
Yifan Peng ◽  
Qingyu Chen ◽  
Tiarnan D. L. Keenan ◽  
Emily Y. Chew ◽  
Zhiyong Lu
Keyword(s):  
Artificial Intelligence ◽  
Macular Degeneration ◽  
Age Related Macular Degeneration ◽  
Age Related
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