An interventional study of Automated visual acuity in Visual Impairment, sponsored by Tan Tock Seng Hospital. Not yet recruiting. Open to participants aged 21 Years to 100 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2024-08-06.
Sponsored by Tan Tock Seng Hospital · Not applicable, Interventional, and Screening
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.
Visual acuity is done as a routine eye check for the majority of eye patients in the clinic. It is also done as a screening test for pre-employment health checks and health screening. Patients can be checked for refractive errors, on a community level or screened for eye diseases, for those with chronic medical conditions. With the increasing burden of aging population and eye conditions, the number of patients in eye clinics will increase.
There are a few existing online applications that allow self-eye checks, however there are limitations. They are usually done at an intermediate distance, i.e. distance from phone to eye and does not accurately represent true distance vision. Distance vision is typically set at 4- 6m in a clinical setting.
A visual acuity test is administered by specially trained healthcare personnel, such as optometrists and patient service assistants, which is often time-consuming and labour intensive, where one-on-one attention is required. In addition, vision is subjective and re-testing may be required at times to ensure accurate vision assessment.
As the visual acuity test is the first clinical station patient goes to after registration, this leads to a bottleneck in workflow causes delays in the subsequent services and eventually increases patient waiting times in the clinics.
This project aims to develop and validate an automated Visual Acuity (VA) station through speech-to-text and computer vision technology in comparison to existing manual VA assessments.
We hypothesize that we are able to use artificial intelligence to understand patient\'s speech and posture to automate the visual acuity test. We also hypothesize that the automated visual acuity test is comparable to having VA checked manually by a clinic staff.
360 studies on the registry are indexed under Vision Disorders; 84 are open to participants now.
This study's planned enrollment of 100 is above the median of 78 across 244 interventional studies indexed under Vision Disorders.
Browse Vision Disorders studies →Tan Tock Seng Hospital is the lead sponsor of 108 studies on the registry; 19 are open to participants now.
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Exclusion Criteria:
Patient will perform manual visual acuity first, then be guided to another room to have the visual acuity tested on the automated VA device
Device: 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.
Best corrected visual acuity with and without pinhole using Snellen letters and numbers
Best corrected visual acuity will be expressed in metres (e.g. 6/6-1), and will be converted to LogMAR for analysis.
Time frame: 1 year
No study locations are listed for this record.
Plan to share: No
No publications or documents are linked to this record.
Start is estimated for Aug 2024; primary completion for Oct 2024, 2 months later.
Of 84 non-industry interventional studies with no phase under Vision Disorders, half reached primary completion within 31 months of starting (the median), counting those still running; a quarter within 7 and three quarters within 51. This study's planned 2 months is below that.
Counting every sponsor, half of 94 studies reached it within 24 months; a quarter within 6 and three quarters within 51.
How these figures are worked out, and which studies are left out of them.
This study is not yet recruiting, as verified in Aug 2024. You cannot join it, but the record below documents what was studied.
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