The Use of Artificial Intelligence for Estimating Anterior Chamber Depth from Slit-Lamp Images Developed Using Anterior-Segment Optical Coherence Tomography

The Use of Artificial Intelligence for Estimating Anterior Chamber Depth from Slit-Lamp Images Developed Using Anterior-Segment Optical Coherence Tomography

Primary angle closure glaucoma (PACG) is a major cause of visual impairment, particularly in Asia. Although effective screening tools are necessary, the current gold standard is complex and time-consuming, requiring extensive expertise. Artificial intelligence has introduced new opportunities for in...

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Bibliographic Details
Main Authors: Eisuke Shimizu, Kenta Tanaka, Hiroki Nishimura, Naomichi Agata, Makoto Tanji, Shintato Nakayama, Rohan Jeetendra Khemlani, Ryota Yokoiwa, Shinri Sato, Daisuke Shiba, Yasunori Sato
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Bioengineering
Subjects:
artificial intelligence
anterior chamber depth
machine learning
slit-lamp images
anterior-segment optical coherence tomography
Smart Eye Camera
Online Access:https://www.mdpi.com/2306-5354/11/10/1005

Internet

https://www.mdpi.com/2306-5354/11/10/1005

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