Checking a smartphone app for signs of autism in children
Compares app-measured responses with autism diagnoses in children aged 2 to 11.
Plain-language title generated from the registry record
Registry title: Online Evaluation of the Diagnostic Accuracy of BlinkLab's Digital Assessments for Autism
Key facts
- Where
- Princeton, United StatesSee the site
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 2 and 11 years old?
Source: NCT07590973, who can take part
Where in United States
- Remote study conducted nationwide; all participation occurs via smartphone app at home.Princeton, United StatesTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Blinklab Limited
- Trial code
- NCT07590973
- Record updated
- 15 May 2026
- Original description
This observational study aims to evaluate how patterns of behavioral and sensorimotor responses measured using the BlinkLab Dx1 smartphone application relate to autism diagnoses in children ages 2 to 11. BlinkLab Dx1 is a non-invasive, smartphone-based application under development as a diagnostic aid for healthcare providers assessing autism.Read full original descriptionShow less
Online Evaluation of the Diagnostic Accuracy of BlinkLab's Digital Assessments for Autism
This observational study aims to evaluate how patterns of behavioral and sensorimotor responses measured using the BlinkLab Dx1 smartphone application relate to autism diagnoses in children ages 2 to 11. BlinkLab Dx1 is a non-invasive, smartphone-based application under development as a diagnostic aid for healthcare providers assessing autism.
In this study, children who have undergone a neurodevelopmental assessment within the past 12 months will complete two short, video-based sessions using the BlinkLab Dx1 app. The app presents visual and auditory stimuli and records reflexive sensorimotor responses and patterns of repetitive behavior. Additionally, primary caregivers will answer a short questionnaire in the app about symptoms and development. Information about prior neurodevelopmental assessments, including documented DSM-5-based diagnoses from routine clinical practice, will be collected retrospectively.
The study will examine how the app's neurobehavioral measurements relate to previously assigned clinical diagnoses. These paired data will be used to develop and evaluate a machine learning-based algorithm using separate training and testing datasets to assess whether patterns measured by BlinkLab Dx1 can help distinguish children with autism from children without an autism diagnosis.
This study does not involve any treatment or medical intervention.
Inclusion: Age: Children between 2 to 11 years old; Parent/Caregiver/Healthcare Provider Concern: The child has received a diagnostic outcome of a neurodevelopmental assessment based on DSM-5 criteria within the past 12 months; Language Proficiency: Parents and subjects must have functional English capability in the home environment; Informed Consent: Parents must be able to read, understand, and voluntarily sign the Informed Consent Form (ICF); Videotaping: subjects must be willing to be videotaped during the diagnostic assessment by the BlinkLab App.
Exclusion: Previous Enrollment: Subjects who have been previously enrolled in any BlinkLab clinical study; History of audiogenic seizures: Participants with a known history of seizures that are triggered by auditory stimuli, including reflex or startle epilepsy provoked by sounds (audiogenic seizures), or any other form of sound-induced epilepsy; Device Compatibility: Parents without smartphone capabilities necessary for using the BlinkLab app; Location of at home testing: Not being able to complete all remote at-home study sessions within the US.