Ophthalmology Deep learning-based correction of cataract-induced influence on macular pigment optical density measurement by autofluorescence spectroscopy. February 13, 2024
Ophthalmology Artificial intelligence and deep learning in ophthalmology: Current status and future perspectives. October 17, 2023
Ophthalmology The effect of optical degradation from cataract using a new Deep Learning optical coherence tomography segmentation algorithm. October 16, 2023
Ophthalmology Artificial Intelligence in Cornea, Refractive Surgery, and Cataract: Basic Principles, Clinical Applications, and Future Directions. August 14, 2023
Ophthalmology Artificial Intelligence in Cornea, Refractive Surgery, and Cataract: Basic Principles, Clinical Applications, and Future Directions. July 26, 2023
Artificial Intelligence | Ophthalmology Application of artificial intelligence for automatic cataract staging based on anterior segment images: comparing automatic segmentation approaches to manual segmentation. May 8, 2023
Ophthalmology Detecting visually significant cataract using retinal photograph-based deep learning. April 28, 2023
Ophthalmology Acceptance and Perception of Artificial Intelligence Usability in Eye Care (APPRAISE) for Ophthalmologists: A Multinational Perspective. November 2, 2022
Ophthalmology Artificial Intelligence in Cornea, Refractive Surgery, and Cataract: Basic Principles, Clinical Applications, and Future Directions. July 5, 2021
Ophthalmology Correction for the Influence of Cataract on Macular Pigment Measurement by Autofluorescence Technique Using Deep Learning. May 18, 2021
Ophthalmology Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective. September 8, 2020
Ophthalmology A hybrid global-local representation CNN model for automatic cataract grading. May 6, 2019