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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Principais autores:	Eisuke Shimizu, Kenta Tanaka, Hiroki Nishimura, Naomichi Agata, Makoto Tanji, Shintato Nakayama, Rohan Jeetendra Khemlani, Ryota Yokoiwa, Shinri Sato, Daisuke Shiba, Yasunori Sato
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2024-10-01
סדרה:	Bioengineering
נושאים:	artificial intelligence anterior chamber depth machine learning slit-lamp images anterior-segment optical coherence tomography Smart Eye Camera
גישה מקוונת:	https://www.mdpi.com/2306-5354/11/10/1005
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