Machine Learning–Based Classification and Dynamic Analysis of Tear Film Lipid Layer Using Smartphone-Based Interferometry: A Pilot Study
The proposed ML model can classify TFLL patterns from self-acquired SBI images with good accuracy and replicate typical TFLL spreading dynamics. These findings support its potential application to dynamic monitoring in personalized eye care and home-based dry eye management.
Authors
- Yoshiro Okazaki
- Mamoru Iwabuchi
- Norihiko Yokoi
- Hiromichi Okazaki
Institutions
- Kyoto Prefectural University of Medicine (JP)
Publication Details
- Journal
- Eye & Contact Lens Science & Clinical Practice
- Published
- 2026-03-05
- DOI
- https://doi.org/10.1097/icl.0000000000001264
- Primary Topic
- Ocular Surface and Contact Lens
- Type
- article
- Field-Weighted Citation Impact
- 0.00