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ARVO Annual Meeting Abstract June 2025

Cost-effectiveness of an AI-based 3D OCT Image Analysis for Diabetic Macular Edema Identification to Support Triage Screening

Shuyi Zhang; Jiaying Zhou; Anran RAN; Simon Szeto; Carol Yim-lui Cheung

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):1906.

ARVO Annual Meeting Abstract June 2025

Are Traditional Deep Learning Models as good as Retinal-specific Foundation Model for Ocular and Systemic Disease Detection?

Samantha Yew; Xiaofeng Lei; Jocelyn Hui Lin Goh; Yibing Chen; Miao Li Chee; Marco Chak Yan Yu; Zhi Da Soh; Cancan Xue; Ya Xing Wang; Jost B. Jonas; Vinay Nangia; Krithi Pushpanathan; Ke Zou; Qingshan Hou; Sahana Srinivasan; Carol Yim-lui Cheung; Yukun Zhou; Pearse Andrew Keane; Jun Zhou; Rick Goh; Yong Liu; Ching-Yu Cheng; Yih Chung Tham

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):4635.

ARVO Annual Meeting Abstract June 2025

Building an Artificial Intelligence-Based Infrastructure for Prospectively Validating Glaucoma Detection from 3D Optical Coherence Tomography Scans in real-world

Anran RAN; Anni Ling; Ruyue Shen; Clement C. Tham; Carol Yim-lui Cheung

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):2718.

ARVO Annual Meeting Abstract June 2025

Development of an artificial intelligence (AI) model for predicting intraocular pressure (IOP) reduction after phacoemulsification in primary angle closure glaucoma (PACG)

ANNI LING; Qinghua He; Anran Ran; Carol Yim-lui Cheung; Clement C. Tham

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):1978.

ARVO Annual Meeting Abstract June 2025

Development of Vendor-Agnostic Multiple Retinal Disease Detection AI Model from 3D Optical Coherence Tomography Scans

Carol Yim-lui Cheung; Ziqi Tang; Yuhan Zhang; Pheng Ann Heng; Truong Xuan Nguyen; Simon Szeto; Anran Ran

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):526.

ARVO Annual Meeting Abstract June 2025

Is an Ultra Large Natural Image-Based Foundation Model (FM) Superior to a Retina-Specific FM?

Yih Chung Tham; Qingshan Hou; Jocelyn Hui Lin Goh; Yukun Zhou; Samantha Yew; Ke Zou; Siegfried Wagner; Gabor Mark Somfai; Carol Yim-lui Cheung; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):498.

ARVO Annual Meeting Abstract June 2025

EyeFM: A Multi-Modal Vision-Language Copilot Foundation Model for Eyecare

Tien Y Wong; Yilan Wu; Bo Qian; Tingyao Li; Yiming Qin; Zhouyu Guan; Tingli Chen; Yali Jia; Ping Zhang; Rajiv Raman; Jakob Grauslund; Lee-Ling Lim; Carol Yim-lui Cheung; Ying Feng Zheng; Pearse Andrew Keane; Yih-Chung Tham; Bin Sheng

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):864.

ARVO Annual Meeting Abstract June 2025

Cost-effectiveness of integrating AI-based retinal cardiovascular disease risk assessment with diabetic retinopathy screening programmes: a multi-country analysis

Wenyi Hu; Rui Li; Yujie Wang; Xuemei Zhang; Qingsheng Peng; Gabriel YANG; Anran Ran; Siegfried Wagner; Yih-Chung Tham; Ekaterina Woods; Peter van Wijngaarden; Elif Ekinci; Carol Yim-lui Cheung; Gavin Tan; Paul J Foster; Pearse Andrew Keane; Tien Yin Wong; Ching-Yu Cheng; Mingguang He; Zhuoting Zhu; Lei Zhang

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):1905.

ARVO Annual Meeting Abstract June 2025

EyeLM01: a novel pipeline for evidence-based enhancement and evaluation of performance of large language models in dry eye disease question-answering.

Chu Wang Yee; Wai Chak Choy; Kenneth LAI; Wai Kuen Yip; Carmen KM Chan; Alvin L. Young; Hunter KL Yuen; Carol Yim-lui Cheung; Calvin C P Pang; Clement C. Tham; Kam-lung, Kelvin Chong

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):3941.

ARVO Annual Meeting Abstract June 2025

Comparison of deep-learning based retinal imaging biomarkers for their association with incident cardiovascular diseases

Faye Ng Yu Ci; Cancan Xue; Yih Chung Tham; Crystal Chong; Marco Chak Yan Yu; Simon Nusinovici; Tyler Rim; Carol Yim-lui Cheung; Tien Yin Wong; Ching-Yu Cheng

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):3866.

ARVO Annual Meeting Abstract June 2024

Ensemble Learning-based AI Model for Alzheimer's Disease Detection from En Face Images, Thickness and Deviation Maps of OCT Tomography

Carol Yim-Lui Cheung; Anran Ran; Xiaoyan Hu; Herbert Hui; Christopher Chen; Vincent Mok; Tien Y Wong

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2831.

ARVO Annual Meeting Abstract June 2024

Effects of Physical Activity and Inactivity on Retinal Vessel Caliber of Children: The Hong Kong Children Eye Study

Vincent L Yuen; Xiu Juan Zhang; Yuzhou Zhang; Carol Yim-Lui Cheung; Jason YAM

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5257.

ARVO Annual Meeting Abstract June 2023

Predicting response of anti-VEGF therapy in eyes with diabetic macular edema using deep-leaning based OCT image analysis: a multi-center study

Carol Yim-lui Cheung; Xi Wang; Anran Ran; Fangyao Tang; Simon Szeto; Mary Ho; Victor Chu; Gerald Liew; Rajiv Raman; Ananatharaman Giridhar; Hao Chen; Pheng-Ann Heng; Gabriel YANG

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):3418.

ARVO Annual Meeting Abstract June 2023

Cost-effectiveness of Artificial Intelligence-aided Glaucoma Screening in Hong Kong: A Markov Model

Anran RAN; Poemen Pui Man Chan; Clement C. Tham; Carol Yim-lui Cheung

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):124.

ARVO Annual Meeting Abstract June 2022

Deep-learning measurement of retinal vessel caliber predicts incident myocardial infarction

Yiu Lun Wong; Marco Yu; Crystal Chong; Tien Yin Wong; Ching Yu Cheng; Carol Yim-lui Cheung

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):177 – F0024.

ARVO Annual Meeting Abstract June 2022

A deep-learning based diabetic macular ischemia classification on OCT-angiography images for predicting diabetic retinopathy progression and diabetic macular oedema development

Dawei Gabriel YANG; Carol Yim-lui Cheung; Anran RAN; Fangyao Tang

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2913 – F0066.

ARVO Annual Meeting Abstract June 2022

Texture-transformer-based deep-learning (DL) network for enhancing image-quality of OCT-angiography images with lower-resolution

Carol Yim-lui Cheung; Hao Chen; Yuyan RUAN; Weiwen Zhang; Dawei Gabriel YANG

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):215 – F0062.

ARVO Annual Meeting Abstract June 2022

Federated Deep Learning for Classifying Glaucomatous Optic Neuropathy from Optical Coherence Tomography Volumetric Scans: A Privacy-preserving Multi-national Study

Anran RAN; Xi Wang; Poemen P Chan; Noel C Chan; Oi Man Mandy Wong; Hon-Wah Yung; Robert T. Chang; Suria S. Mannil; Yih Chung Tham; Ching-Yu Cheng; Pheng-Ann Heng; Clement C. Tham; Carol Yim-lui Cheung

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):850.

ARVO Annual Meeting Abstract June 2021

Association Between Alzheimer’s Disease and Artificial Intelligence-based Glaucomatous Optic Neuropathy Score

Anran RAN; Christopher L. Chen; Xi Wang; Vincent Mok; Clement C. Tham; Tien Y Wong; Carol Yim-lui Cheung

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2121.

ARVO Annual Meeting Abstract June 2021

A Multi-Task Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multi-Center Analysis

Carol Yim-lui Cheung; Fangyao Tang; Anran Ran; Gavin Siew Wei Tan; Daniel SW Ting; Haoyu Chen; Hongjie Ma; Shibo Tang; Theodore Leng; Schahrouz Kakavand; Suria S Mannil; Robert Chang; Gerald Liew; Bamini Gopinath; Tien Y Wong; Xi Wang

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1033.

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Cost-effectiveness of an AI-based 3D OCT Image Analysis for Diabetic Macular Edema Identification to Support Triage Screening

Are Traditional Deep Learning Models as good as Retinal-specific Foundation Model for Ocular and Systemic Disease Detection?

Building an Artificial Intelligence-Based Infrastructure for Prospectively Validating Glaucoma Detection from 3D Optical Coherence Tomography Scans in real-world

Development of an artificial intelligence (AI) model for predicting intraocular pressure (IOP) reduction after phacoemulsification in primary angle closure glaucoma (PACG)

Development of Vendor-Agnostic Multiple Retinal Disease Detection AI Model from 3D Optical Coherence Tomography Scans

Is an Ultra Large Natural Image-Based Foundation Model (FM) Superior to a Retina-Specific FM?

EyeFM: A Multi-Modal Vision-Language Copilot Foundation Model for Eyecare

Cost-effectiveness of integrating AI-based retinal cardiovascular disease risk assessment with diabetic retinopathy screening programmes: a multi-country analysis

EyeLM01: a novel pipeline for evidence-based enhancement and evaluation of performance of large language models in dry eye disease question-answering.

Comparison of deep-learning based retinal imaging biomarkers for their association with incident cardiovascular diseases

Ensemble Learning-based AI Model for Alzheimer's Disease Detection from En Face Images, Thickness and Deviation Maps of OCT Tomography

Effects of Physical Activity and Inactivity on Retinal Vessel Caliber of Children: The Hong Kong Children Eye Study

Predicting response of anti-VEGF therapy in eyes with diabetic macular edema using deep-leaning based OCT image analysis: a multi-center study

Cost-effectiveness of Artificial Intelligence-aided Glaucoma Screening in Hong Kong: A Markov Model

Deep-learning measurement of retinal vessel caliber predicts incident myocardial infarction

A deep-learning based diabetic macular ischemia classification on OCT-angiography images for predicting diabetic retinopathy progression and diabetic macular oedema development

Texture-transformer-based deep-learning (DL) network for enhancing image-quality of OCT-angiography images with lower-resolution

Federated Deep Learning for Classifying Glaucomatous Optic Neuropathy from Optical Coherence Tomography Volumetric Scans: A Privacy-preserving Multi-national Study

Association Between Alzheimer’s Disease and Artificial Intelligence-based Glaucomatous Optic Neuropathy Score

A Multi-Task Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multi-Center Analysis

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