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Development and Validation of an Automated Self-administered Visual Acuity System
Sponsor: Tan Tock Seng Hospital
Summary
Visual acuity tests, commonly conducted in clinics and used for health screenings, are becoming more in demand due to an aging population. Current online self-eye check apps are limited as they don\'t accurately reflect true distance vision assessed in clinical settings. These tests, performed by trained personnel, are time-consuming and can cause delays in clinics. This project aims to develop an automated Visual Acuity (VA) station using AI technologies like speech-to-text and computer vision, hypothesizing that it can match the accuracy of manual assessments by clinic staff, thus potentially reducing waiting times and improving efficiency.
Key Details
Gender
All
Age Range
21 Years - 100 Years
Study Type
INTERVENTIONAL
Enrollment
100
Start Date
2024-08-01
Completion Date
2025-08-01
Last Updated
2024-08-06
Healthy Volunteers
Yes
Conditions
Interventions
Automated visual acuity
The automated visual acuity device is developed in collaboration with Tan Tock Seng Hospital, Singapore Institute of Technology and Nanyang Technological University. It uses artificial intelligence for pose estimation and speech recognition to infer if the participant is reading the correct letters displayed on the screen.