NCT07255885

Brief Summary

The development of a next-generation 'CRYSTALSIGHT' solution using combinations of a novel and cost-effective eye-tracking system with artificial intelligence-based eye-tracking algorithms that detect macular abnormalities and enable clinicians to review and monitor the prognosis of patients via a web platform through the following deliverables.

  1. 1.Evaluate and improve a home-monitoring regimen involving the self-tests of the CRYSTALSIGHT gaze-tracking system
  2. 2.To demonstrate that CRYSTALSIGHT has the same or superior gaze-tracking capacities as Tobii.
  3. 3.Evaluate the CRYSTALSIGHT device for its functionality and ease of use as a qualitative measurement tool for patients.
  4. 4.Develop the Design History File (DHF) for regulatory filing requirements.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
20

participants targeted

Target at below P25 for all trials

Timeline
Completed

Started May 2025

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

March 17, 2025

Completed
2 months until next milestone

Study Start

First participant enrolled

May 8, 2025

Completed
23 days until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 31, 2025

Completed
6 months until next milestone

First Posted

Study publicly available on registry

December 1, 2025

Completed
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2025

Completed
Last Updated

January 8, 2026

Status Verified

January 1, 2026

Enrollment Period

23 days

First QC Date

March 17, 2025

Last Update Submit

January 5, 2026

Conditions

Keywords

gaze-tracking

Outcome Measures

Primary Outcomes (1)

  • Agreement of CRYSTALSIGHT with Tobii Gaze Tracker for Macular Disease Monitoring

    To assess the agreement between the CRYSTALSIGHT device and the commercial Tobii eye tracker in quantifying gaze parameters (e.g., saccadic velocity, pursuit stability, micro-saccades) in patients with maculopathies.

    Baseline

Secondary Outcomes (2)

  • Agnostic Concordance of CRYSTALSIGHT with Clinical Disease Activity

    Baseline

  • Rate of Incomplete or Failed Tests Using CRYSTALSIGHT

    Baseline

Study Arms (1)

CRYSTALSIGHT

Presenting stimulus targets while using Crystalsight: The test presents three types of targets and assesses corresponding gaze responses in pseudorandom succession on the screen. During this, the Crystalsight AI uses a high-definition camera to perform eye-gaze tracking to generate data coordinates of eye movement.

Device: CRYSTALSIGHT Test

Interventions

Eye gaze tracking tests will be automated, and patients will only need to follow through with the stimulus/image shown without physical contact with the eye gaze tracker using CRYSTALSIGHT and Tobii. A series of stimulus dots in the form of a pursuit (moving stimulus) or saccade (fixed stimulus and fixed speed) will be presented on the screen and the user under test (UAT) will need to look at the targets presented. The test is similar to Microperimetry and Humphrey's visual field test. A score will be generated at the end of the test. Research Procedure: 1. CRYSTALSIGHT 2. Tobii Subjects perform the CRYSTALSIGHT test monocularly and pursue a pre-determined target moving in a customized waveform across the computer screen. The trail of the gaze points generated by the subject following the target is simultaneously recorded and stored. Eye dilation will not be required for the purpose of this research study as fundoscopy nor OCT imaging will not be performed.

CRYSTALSIGHT

Eligibility Criteria

Age21 Years - 100 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Adult individuals will be voluntarily recruited from Tan Tock Seng Hospital (TTSH) Ophthalmology Specialist Outpatient Clinics after they have been assessed for eligibility based on established clinical diagnosis from the case notes through TTSH NGEMR. Informed consent will be obtained for participation in this study.

You may qualify if:

  • Participants between ages 21 and 100
  • Both genders
  • Subjects with maculopathies
  • Ability to comply with the study protocol, in the investigator's judgment
  • Subjects must have the cognitive capacity to provide personal consent (i.e. no cognitively impaired persons will be recruited).

You may not qualify if:

  • Uncontrolled blood pressure, defined as systolic blood pressure \>180 millimeters of mercury (mmHg) and/or diastolic blood pressure \>100 mmHg while a patient is at rest.
  • Any concurrent intraocular condition in the study eye that, in the opinion of the investigator, could either reduce the potential for visual improvement or require medical or surgical intervention during the study.
  • History of idiopathic or autoimmune-associated uveitis in either eye.
  • Active ocular inflammation or suspected or active ocular or periocular infection in either eye.
  • Individuals with indications of cognitive impairment and unable to make decisions for themselves to provide informed consent will be excluded from the study.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Tan Tock Seng Hospital

Singapore, 308433, Singapore

Location

Related Publications (12)

  • Kawasaki R, Wang JJ, Aung T, Tan DT, Mitchell P, Sandar M, Saw SM, Wong TY; Singapore Malay Eye Study Group. Prevalence of age-related macular degeneration in a Malay population: the Singapore Malay Eye Study. Ophthalmology. 2008 Oct;115(10):1735-41. doi: 10.1016/j.ophtha.2008.02.012. Epub 2008 Apr 25.

    PMID: 18439679BACKGROUND
  • Trevino R, Kynn MG. Macular function surveillance revisited. Optometry. 2008 Jul;79(7):397-403. doi: 10.1016/j.optm.2007.09.017.

    PMID: 18577497BACKGROUND
  • Ai Ping Yow, Damon Wong, Huiying Liu, Hongyuan Zhu, Ivy Jing-Wen Ong, Laude A, Tock Han Lim. Automatic visual impairment detection system for age-related eye diseases through gaze analysis. Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:2450-2453. doi: 10.1109/EMBC.2017.8037352.

    PMID: 29060394BACKGROUND
  • Mathew R, Sivaprasad S. Environmental Amsler test as a monitoring tool for retreatment with ranibizumab for neovascular age-related macular degeneration. Eye (Lond). 2012 Mar;26(3):389-93. doi: 10.1038/eye.2011.326. Epub 2011 Dec 16.

    PMID: 22173073BACKGROUND
  • AREDS2-HOME Study Research Group; Chew EY, Clemons TE, Bressler SB, Elman MJ, Danis RP, Domalpally A, Heier JS, Kim JE, Garfinkel R. Randomized trial of a home monitoring system for early detection of choroidal neovascularization home monitoring of the Eye (HOME) study. Ophthalmology. 2014 Feb;121(2):535-44. doi: 10.1016/j.ophtha.2013.10.027. Epub 2013 Nov 8.

    PMID: 24211172BACKGROUND
  • AREDS2 Research Group; Chew EY, Clemons T, SanGiovanni JP, Danis R, Domalpally A, McBee W, Sperduto R, Ferris FL. The Age-Related Eye Disease Study 2 (AREDS2): study design and baseline characteristics (AREDS2 report number 1). Ophthalmology. 2012 Nov;119(11):2282-9. doi: 10.1016/j.ophtha.2012.05.027. Epub 2012 Jul 26.

    PMID: 22840421BACKGROUND
  • Chew EY, Clemons TE, Agron E, Sperduto RD, Sangiovanni JP, Davis MD, Ferris FL 3rd; Age-Related Eye Disease Study Research Group. Ten-year follow-up of age-related macular degeneration in the age-related eye disease study: AREDS report no. 36. JAMA Ophthalmol. 2014 Mar;132(3):272-7. doi: 10.1001/jamaophthalmol.2013.6636.

    PMID: 24385141BACKGROUND
  • Age-Related Eye Disease Study Research Group. The Age-Related Eye Disease Study (AREDS): design implications. AREDS report no. 1. Control Clin Trials. 1999 Dec;20(6):573-600. doi: 10.1016/s0197-2456(99)00031-8.

    PMID: 10588299BACKGROUND
  • Goldberg, J.H. and A.M. Wichansky, Eye tracking in usability evaluation: A practitioner's guide, in the Mind's Eye. 2003, Elsevier. p. 493-51

    BACKGROUND
  • Goldberg, J.H. and X.P. Kotval, Computer interface evaluation using eye movements: methods and constructs. International journal of industrial ergonomics, 1999. 24(6): p. 631

    BACKGROUND
  • Huiying Liu, Yanwu Xu, Damon Wong, Ai Ping Yow, Laude A, Tock Han Lim. Detecting impaired vision caused by AMD from gaze data. Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:3142-3145. doi: 10.1109/EMBC.2017.8037523.

    PMID: 29060564BACKGROUND
  • Huiying Liu, Wong D, Ai Ping Yow, Yanwu Xu, Fengshou Yin, Laude A, Tock Han Lim. Determining the difference in eyegaze measurements in individuals with age related macular degeneration. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:1348-1351. doi: 10.1109/EMBC.2016.7590957.

    PMID: 28268575BACKGROUND

MeSH Terms

Conditions

Macular DegenerationDiabetic Retinopathy

Condition Hierarchy (Ancestors)

Retinal DegenerationRetinal DiseasesEye DiseasesDiabetic AngiopathiesVascular DiseasesCardiovascular DiseasesDiabetes ComplicationsDiabetes MellitusEndocrine System Diseases

Study Officials

  • Augustinus Laude, MBChB

    Tan Tock Seng Hospital

    PRINCIPAL INVESTIGATOR
  • Zheng Kuang Noel Soh, BSc

    Tan Tock Seng Hospital

    STUDY DIRECTOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Senior Consultant

Study Record Dates

First Submitted

March 17, 2025

First Posted

December 1, 2025

Study Start

May 8, 2025

Primary Completion

May 31, 2025

Study Completion

December 31, 2025

Last Updated

January 8, 2026

Record last verified: 2026-01

Data Sharing

IPD Sharing
Will not share

Locations