Multi-Disease Deep-Learning Neural Network for the Diagnosis of Corneal Diseases

Blindness and Vision Impairment

Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

JAMA Ophthalmol.

Brown JM, Campbell JP, Beers A, hang K, Ostmo S, Chan RVP, Dy J, Erdogmus D, Ioannidis S, Kalpathy-Cramer J, Chiang MF, for the Imaging and Informatics in Retinopathy of Prematurity (i-ROP) Research Consortium

COMMENTED

Retinal Diseases

Clinically applicable deep learning for diagnosis and referral in retinal disease

Nat Med.

De Fauw J, Ledsam JR, Romera-Paredes B, Nikolov S, Tomasev N, Blackwell S, Askham H, Glorot X, O'Donoghue B, Visentin D, van den Driessche G, Lakshminarayanan B, Meyer C, Mackinder F, Bouton S, Ayoub K, Chopra R, King D, Karthikesalingam A, Hughes CO, Raine R, Hughes J, Sim DA, Egan C, Tufail A, Montgomery H, Hassabis D, Rees G, Back T, Khaw PT, Suleyman M1, Cornebise J, Keane PA, Ronneberger O

doi: 10.1038/s41591-018-0107-6.

Macular Diseases

Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks

JAMA Ophthalmol.

Burlina PM, Joshi N, Pekala M, Pacheco KD, Freund DE, Bressler NM

doi: 10.1001/

Macular Diseases

A Deep Learning Algorithm for Prediction of Age-Related Eye Disease Study Severity Scale for Age-Related Macular Degeneration from Color Fundus Photography

Ophthalmology.

Grassmann F, Mengelkamp J, Brandl C, Harsch S, Zimmermann ME, Linkohr B, Peters A, Heid IM, Palm C, Weber BHF

doi: 10.1016/j.ophtha.2018.02.037.

Cornea and Corneal DiseasesSurgery and Intervention

Screening Candidates for Refractive Surgery With Corneal Tomographic-Based Deep Learning

JAMA Ophthalmol.

Xie Y, Zhao L, Yang X, Wu X, Yang Y, Huang X, Liu F, Xu J, Lin L, Lin H, Feng Q, Lin H, Liu Q

doi: 10.1001/jamaophthalmol.2020.0507.

COMMENTED

Macular Diseases

Use of Deep Learning for Detailed Severity Characterization and Estimation of 5-Year Risk Among Patients With Age-Related Macular Degeneration

JAMA Ophthalmol.

Burlina PM, Joshi N, Pacheco KD, Freund DE, Kong J, Bressler NM

doi: 10.1001/jamaophthalmol.

Retinal DiseasesFurther Publications

Detection of Diabetic Retinopathy from Ultra-Wide Field Scanning Laser Ophthalmoscope Images: A Multi-Center Deep-Learning Analysis

Ophthalmol Retina

Tang F, Luenam P, Ran AR, Quadeer AA, Raman R, Sen P, Khan R, Giridhar A, Haridas S, Iglicki M, Zur D, Loewenstein A, Negri HP, Szeto S, Yau Lam BK, Tham CC, Sivaprasad S, Mckay M, Cheung CY

doi: 10.1016/j.oret.2021.01.013

Macular DiseasesRetinal Diseases

Distinguishing retinal angiomatous proliferation from polypoidal choroidal vasculopathy with a deep neural network based on optical coherence tomography

Sci Rep

Hwang DD, Choi S, Ko J, Yoon J, Park JI, Hwang JS, Han JM, Lee HJ, Sohn J, Park KH, Han J

doi: 10.1038/s41598-021-88543-7

Retinal Diseases

Validation and Clinical Applicability of Whole-Volume Automated Segmentation of Optical Coherence Tomography in Retinal Disease Using Deep Learning

JAMA Ophthalmol

Wilson M, Chopra R, Wilson MZ, Cooper C, MacWilliams P, Liu Y, Wulczyn E, Florea D, Hughes CO, Karthikesalingam A, Khalid H, Vermeirsch S, Nicholson L, Keane PA, Balaskas K, Kelly CJ

doi: 10.1001/jamaophthalmol.2021.2273

Related content

Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

Clinically applicable deep learning for diagnosis and referral in retinal disease

Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks

A Deep Learning Algorithm for Prediction of Age-Related Eye Disease Study Severity Scale for Age-Related Macular Degeneration from Color Fundus Photography

Screening Candidates for Refractive Surgery With Corneal Tomographic-Based Deep Learning

Use of Deep Learning for Detailed Severity Characterization and Estimation of 5-Year Risk Among Patients With Age-Related Macular Degeneration

Detection of Diabetic Retinopathy from Ultra-Wide Field Scanning Laser Ophthalmoscope Images: A Multi-Center Deep-Learning Analysis

Distinguishing retinal angiomatous proliferation from polypoidal choroidal vasculopathy with a deep neural network based on optical coherence tomography

Validation and Clinical Applicability of Whole-Volume Automated Segmentation of Optical Coherence Tomography in Retinal Disease Using Deep Learning