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Advances in AI in ophthalmology

Edited by: Prof Marcus Ang

This series was published in Eye and Vision.

  1. Diabetic retinopathy (DR) and diabetic macular edema (DME) are major causes of visual impairment that challenge global vision health. New strategies are needed to tackle these growing global health problems, a...

    Authors: Jie Yao, Joshua Lim, Gilbert Yong San Lim, Jasmine Chiat Ling Ong, Yuhe Ke, Ting Fang Tan, Tien-En Tan, Stela Vujosevic and Daniel Shu Wei Ting
    Citation: Eye and Vision 2024 11:23
  2. Myopia affects 1.4 billion individuals worldwide. Notably, there is increasing evidence that choroidal thickness plays an important role in myopia and risk of developing myopia-related conditions. With the adv...

    Authors: Zhi Wei Lim, Jonathan Li, Damon Wong, Joey Chung, Angeline Toh, Jia Ling Lee, Crystal Lam, Maithily Balakrishnan, Audrey Chia, Jacqueline Chua, Michael Girard, Quan V. Hoang, Rachel Chong, Chee Wai Wong, Seang Mei Saw, Leopold Schmetterer…
    Citation: Eye and Vision 2024 11:21
  3. Artificial intelligence (AI) that utilizes deep learning (DL) has potential for systemic disease prediction using retinal imaging. The retina’s unique features enable non-invasive visualization of the central ...

    Authors: Yong Yu Tan, Hyun Goo Kang, Chan Joo Lee, Sung Soo Kim, Sungha Park, Sahil Thakur, Zhi Da Soh, Yunnie Cho, Qingsheng Peng, Yih-Chung Tham, Tyler Hyungtaek Rim and Ching-yu Cheng
    Citation: Eye and Vision 2024 11:17
  4. To describe the diagnostic performance of a deep learning (DL) algorithm in detecting Fuchs endothelial corneal dystrophy (FECD) based on specular microscopy (SM) and to reliably detect widefield peripheral SM...

    Authors: Valencia Hui Xian Foo, Gilbert Y. S. Lim, Yu-Chi Liu, Hon Shing Ong, Evan Wong, Stacy Chan, Jipson Wong, Jodhbir S. Mehta, Daniel S. W. Ting and Marcus Ang
    Citation: Eye and Vision 2024 11:11