Optical Character Recognition Based Biometry Scanner App For Easy And Efficient Biometry Calculations
Published 2026 - 44th Congress of the ESCRS
Reference: FP13.03 | Type: Free paper | DOI: 10.82333/29e5-wt38
Authors: Dr Issac Levy 1 , Prof. H. Burkhard Dick 2 , Mr Arbel Israeli 3 , Mr Amit Schendel 3 , Prof. Mayank A Nanavaty* 4
1Sussex Eye Hospital,Brighton,United Kingdom;OcuMetric Innovations LTD,Rehovot,Israel, 2University Eye Hospital, Ruhr University,Bochum,Germany;OcuMetric Innovations LTD,Rehovot,Israel, 3OcuMetric Innovations LTD,Rehovot,Israel, 4Sussex Eye Hospital,Brighton,United Kingdom;OcuMetric Innovations LTD,Brighton,Israel
Purpose
To describe the development and validation of an optical character recognition (OCR)-based mobile application (Biometry Scanner App, Version 1.0, Ocumetric Innovations Ltd) designed to automate biometric data entry into the European Society of Cataract and Refractive Surgeons (ESCRS) intraocular lens (IOL) calculator, thereby reducing transcription errors and improving workflow efficiency in cataract surgery planning.
Setting
Ocumetric Innovations Ltd
Methods
A cross-platform mobile application integrating AI-powered OCR technology (Google Gemini 2.5) was developed for iOS and Android. The app processes biometry printouts from any device, extracts numerical data, and automatically populates the ESCRS IOL calculator. Validation comprised two components: a user experience survey of 21 ophthalmologists using 5-point Likert scales after 4 weeks of clinical use, and a prospective time-and-motion study comparing manual versus app-based data entry across five biometry calculations performed by 10 ophthalmologists. Paired t-tests were used for statistical comparison.
Results
Twelve ophthalmologists completed the survey, with 50% reporting >11 uses and 30% >21 uses. Mean Likert scores were 4.5±0.67 for OCR accuracy, 4.5±0.8 for ease of use, and 4.67±0.65 for recommendation to colleagues. The time motion analysis demonstrated significantly faster app-based entry (91.72±5.59 seconds) than manual entry (179.42±22.12 seconds), resulting in a 48.9%-time reduction (p<0.001). Time savings were consistent across all five biometry calculations (43.1–52.7% reduction).
Conclusions
The Biometry Scanner App provides a streamlined, accurate, and user friendly solution for automating IOL power calculations. By eliminating manual transcription, it enhances accuracy, saves time, and promotes safer, more efficient preoperative cataract surgery planning.