An AI-Based Prognostic Model for Prediction of Functional Glaucoma Progression from Clinical and Structural Data

Further Publications

Evaluating the Progression of Retinal Sensitivity Loss in Geographic Atrophy Using Machine-Learning-Based Structure-Function Correlation (OMEGA 2)

Invest Ophthalmol Vis Sci

Ansari G, Schärer N, Pfau K, Valmaggia P, Gabrani C, Zuche H, Giani A, Esmaeelpour M, Yamaguchi TC, Feltgen N, Maloca PM, Schmetterer L, Scholl HPN, Pfau M

doi: 10.1167/iovs.66.11.34

Glaucoma and Ocular Pressure

Predicting Perimetric Glaucoma Development in Suspects Using Wide-Field Optical Coherence Tomography-Based Risk Scores

Ophthalmol Glaucoma

Hou H, Nishida T, Walker E, Durbin MK, Guzman A, Kamalipour A, Tansuebchueasai N, Adelpour M, Zangwill LM, Weinreb RN, Moghimi S

doi: 10.1016/j.ogla.2026.01.009

Ocular Oncology

Monosomy 3 Prediction by Clinical Features and BAP1 Staining and Its Value When Integrated in Liverpool Uveal Melanoma Prognosticator Online (LUMPO3)

Invest Ophthalmol Vis Sci

Chou HD, Eleuteri A, Kalirai H, Hussain RN, Damato BE, Heimann H, Coupland SE

doi: 10.1167/iovs.66.13.17

Glaucoma and Ocular Pressure

Visual field progression rates in glaucoma: frontloaded versus clinical standard (non-frontloaded) SITA-Faster

Am J Ophthalmol

Phu J, Wang H, Masselos K, Tan JCK, Patel NB, Agar A, Kalloniatis M

doi: 10.1016/j.ajo.2025.07.031

Macular DiseasesRetinal Diseases

Artificial intelligence-based fluid quantification predicts clinical outcomes in diabetic macular oedema eyes treated with intravitreal dexamethasone implants: DIADEMA project

Br J Ophthalmol

Franquesa-Garcia F, Romero-Nuñez B, Martin-Pinardel R, De Zanet S, González-López JJ, Escobar-Barranco JJ, Ruiz-Del-Tiempo MP, Boixadera A, Fonollosa A, Gómez-Benlloch A, Velazquez-Villoria D, Fernández-Vigo JI, Garay-Aramburu G, Parrado-Carrillo A, Castillon L, Gómez Sánchez S, Lavid FJ, Arruabarrena C, Figueras-Roca M, Bernal-Morales C, Ciller C, Zarranz-Ventura J, DIADEMA investigators

doi: 10.1136/bjo-2025-328172

Retinal Diseases

Can a Natural Image-Based Foundation Model Outperform a Retina-Specific Model in Detecting Ocular and Systemic Diseases?

Ophthalmol Sci

Hou Q, Zhou Y, Lin Goh JH, Zou K, Yew SME, Srinivasan S, Wang M, Lo TWS, Lei X, Wagner SK, Chia MA, Yang GD, Jiang H, Ran AR, Santos R, Somfai GM, Zhou JH, Chen H, Chen Q, Y Cheung C, Keane PA, Tham YC

doi: 10.1016/j.xops.2025.100923

Glaucoma and Ocular PressureRetinal Diseases

The retinal nerve fibre layer thickness slope: a localised biomarker of the structure-function relationship in early glaucoma

Br J Ophthalmol

Steiner S, Frommlet F, Schwarzhans F, Fischer G, Pirrung M, Pircher M, Hitzenberger C, Vass C

doi: 10.1136/bjo-2025-328330

Glaucoma and Ocular Pressure

Visual Field Progression in Childhood Glaucoma Versus Open-Angle Glaucoma: A Retrospective Comparative Study

J Clin Med

Colina-Jareno A, Sanchez-Jean R, Serrano-Garcia I, Garcia-Feijoo J, Mendez-Hernandez C

doi: 10.3390/jcm15031146

Glaucoma and Ocular Pressure

Association between Optic Nerve Head Prelaminar Schisis and Visual Field Progression in Glaucoma: VF progression and Schisis

Am J Ophthalmol

Soltani G, Nishida T, Moghimi S, Tran E, Yamane M, Girkin C, Zangwill LM, Weinreb RN

doi: 10.1016/j.ajo.2025.06.024

Related content

Evaluating the Progression of Retinal Sensitivity Loss in Geographic Atrophy Using Machine-Learning-Based Structure-Function Correlation (OMEGA 2)

Predicting Perimetric Glaucoma Development in Suspects Using Wide-Field Optical Coherence Tomography-Based Risk Scores

Monosomy 3 Prediction by Clinical Features and BAP1 Staining and Its Value When Integrated in Liverpool Uveal Melanoma Prognosticator Online (LUMPO3)

Visual field progression rates in glaucoma: frontloaded versus clinical standard (non-frontloaded) SITA-Faster

Artificial intelligence-based fluid quantification predicts clinical outcomes in diabetic macular oedema eyes treated with intravitreal dexamethasone implants: DIADEMA project

Can a Natural Image-Based Foundation Model Outperform a Retina-Specific Model in Detecting Ocular and Systemic Diseases?

The retinal nerve fibre layer thickness slope: a localised biomarker of the structure-function relationship in early glaucoma

Visual Field Progression in Childhood Glaucoma Versus Open-Angle Glaucoma: A Retrospective Comparative Study

Association between Optic Nerve Head Prelaminar Schisis and Visual Field Progression in Glaucoma: VF progression and Schisis