Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis

R Aggarwal, V Sounderajah, G Martin, DSW Ting… - NPJ digital …, 2021 - nature.com
Deep learning (DL) has the potential to transform medical diagnostics. However, the
diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of …

Applications of deep learning in fundus images: A review

T Li, W Bo, C Hu, H Kang, H Liu, K Wang, H Fu - Medical Image Analysis, 2021 - Elsevier
The use of fundus images for the early screening of eye diseases is of great clinical
importance. Due to its powerful performance, deep learning is becoming more and more …

Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs

JI Orlando, H Fu, JB Breda, K Van Keer… - Medical image …, 2020 - Elsevier
Glaucoma is one of the leading causes of irreversible but preventable blindness in working
age populations. Color fundus photography (CFP) is the most cost-effective imaging …

[HTML][HTML] Predicting the risk of developing diabetic retinopathy using deep learning

A Bora, S Balasubramanian, B Babenko… - The Lancet Digital …, 2021 - thelancet.com
Background Diabetic retinopathy screening is instrumental to preventing blindness, but
scaling up screening is challenging because of the increasing number of patients with all …

Airogs: Artificial intelligence for robust glaucoma screening challenge

C De Vente, KA Vermeer, N Jaccard… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
The early detection of glaucoma is essential in preventing visual impairment. Artificial
intelligence (AI) can be used to analyze color fundus photographs (CFPs) in a cost-effective …

[HTML][HTML] Trustworthy AI: closing the gap between development and integration of AI systems in ophthalmic practice

C González-Gonzalo, EF Thee, CCW Klaver… - Progress in retinal and …, 2022 - Elsevier
An increasing number of artificial intelligence (AI) systems are being proposed in
ophthalmology, motivated by the variety and amount of clinical and imaging data, as well as …

Optical coherence tomography and glaucoma

A Geevarghese, G Wollstein, H Ishikawa… - Annual review of …, 2021 - annualreviews.org
Early detection and monitoring are critical to the diagnosis and management of glaucoma, a
progressive optic neuropathy that causes irreversible blindness. Optical coherence …

Detecting glaucoma with only OCT: Implications for the clinic, research, screening, and AI development

DC Hood, S La Bruna, E Tsamis, KA Thakoor… - Progress in Retinal and …, 2022 - Elsevier
A method for detecting glaucoma based only on optical coherence tomography (OCT) is of
potential value for routine clinical decisions, for inclusion criteria for research studies and …

[HTML][HTML] A review of deep learning for screening, diagnosis, and detection of glaucoma progression

AC Thompson, AA Jammal… - … vision science & …, 2020 - iovs.arvojournals.org
Because of recent advances in computing technology and the availability of large datasets,
deep learning has risen to the forefront of artificial intelligence, with performances that often …

[HTML][HTML] Artificial intelligence and deep learning in ophthalmology: Current status and future perspectives

K Jin, J Ye - Advances in ophthalmology practice and research, 2022 - Elsevier
Background The ophthalmology field was among the first to adopt artificial intelligence (AI)
in medicine. The availability of digitized ocular images and substantial data have made …