Machine Learning-Based Prediction of Cycloplegic Refraction Using the Eyerobo Vision Screener: Design—A Cross-Sectional Comparative Device Study
Mengmeng Xia, Boxue Yao, Yumei Wang, Fengwei Liang, Wuxia Zhao, Li Qin, Shoukuan Liu, Muhammad Usama, Zhihui Zhang, Wu Guo, Emmanuel Eric Pazo, Xinjun Ren · 2026
Read Machine Learning-Based Prediction of Cycloplegic Refraction Using the Eyerobo Vision Screener: Design—A Cross-Sectional Comparative Device Study by Mengmeng Xia, Boxue Yao, Yumei Wang, Fengwei Liang, Wuxia Zhao, Li Qin, Shoukuan Liu, Muhammad Usama, Zhihui Zhang, Wu Guo, Emmanuel Eric Pazo, Xinjun Ren (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13546392.txt.
Description
Mengmeng Xia and co-authors test a handheld eye screener that uses machine learning to predict a child's true glasses prescription. The gold measure needs dilating drops, which slow clinic work. A portable photorefractor, the Eyerobo Vision Screener, promises a faster path for spotting myopia in children.
Their 2026 study compares the screener with a standard auto-refractor in hundreds of young patients. Both devices read eyes before and after dilation, and eye length data from a third device were added in some runs. Readings were split into power vectors, and many feature mixes were trained. Screening scores at real referral cut-offs show how close the small device comes to the clinic standard.
Catalog record
| CREATOR | Mengmeng Xia, Boxue Yao, Yumei Wang, Fengwei Liang, Wuxia Zhao, Li Qin, Shoukuan Liu, Muhammad Usama, Zhihui Zhang, Wu Guo, Emmanuel Eric Pazo, Xinjun Ren |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 103 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |