Development of an Artificial Intelligence Algorithm to Estimate Tear Meniscus Height Using Anterior Segment Optical Coherence Tomography and a Smartphone-Based Slit-Lamp Microscope

Background and purpose: To enable tear meniscus height measurement independently of the clinical setting, we developed an artificial intelligence-based estimation model using a smartphone-mounted slit-lamp microscope (Smart Eye Camera) and anterior segment optical coherence tomography data. Material...

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Autori principali:	Eisuke Shimizu, Takahiro Mizukami, Yuya Hori, Takanobu Inoue, Hiroki Nishimura, Shintaro Nakayama, Shinri Sato, Risa Hokama, Masatoshi Hirayama, Kazuno Negishi
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2025-12-01
Serie:	JFO Open Ophthalmology
Soggetti:	Smart eye camera Tear meniscus height Artificial intelligence Dry eye disease Machine learning
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2949889925000339
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