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Online Evaluation of the Diagnostic Accuracy of BlinkLab's Digital Assessments for Autism

2026年5月11日 更新者:Blinklab Limited

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.

研究概览

详细说明

Specification of the Time Perspective section in the Study Design: this study has a hybrid time perspective, as BlinkLab Dx1 measures are collected prospectively during remote sessions, while the clinical reference standard (presence of in a DSM-5-based diagnostic report from a neurodevelopmental assessment within the prior 12 months) is collected retrospectively. The clinical reference standard is based on neurodevelopmental assessments conducted in routine clinical care and is collected without influence from study procedures.

The study will use paired BlinkLab Dx1 measurements and clinical reference standard diagnoses to develop and evaluate a machine learning-based classification algorithm. The dataset will be divided into separate training and testing subsets, with the training dataset used to develop the model and determine classification thresholds, and the independent testing dataset used to evaluate diagnostic performance. The model will generate a classification categorizing participants as "Positive for autism", "Intermediate" or "Negative for autims". Participants with intermediate results are considered to have indeterminate findings and are excluded from primary diagnostic performance analyses, which are based on participants with definitive positive or negative test results.

研究类型

观察性的

注册 (估计的)

1000

联系人和位置

本节提供了进行研究的人员的详细联系信息,以及有关进行该研究的地点的信息。

学习联系方式

  • 姓名:Myrthe J. Ottenhoff, MD, PhD
  • 电话号码:908-824-3471
  • 邮箱:study@blinklab.org

学习地点

    • New Jersey
      • Princeton、New Jersey、美国、08540
        • 招聘中
        • Remote study conducted nationwide; all participation occurs via smartphone app at home.
        • 接触:

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

  • 孩子

接受健康志愿者

是的

取样方法

非概率样本

研究人群

Children aged 2-11 years of which the parents/caregivers and/or pediatrician (or other primary care provider) have raised concerns regarding their neurodevelopment and have undergone neurodevelopmental assessment in the last 12 months that would allow diagnosing any neurodevelopmental condition according to DSM5 criteria.

描述

Inclusion Criteria:

  1. Age: Children between 2 to 11 years old
  2. 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.
  3. Language Proficiency: Parents and subjects must have functional English capability in the home environment.
  4. Informed Consent: Parents must be able to read, understand, and voluntarily sign the Informed Consent Form (ICF).
  5. Videotaping: subjects must be willing to be videotaped during the diagnostic assessment by the BlinkLab App.

Exclusion Criteria:

  1. Device Compatibility: Parents without smartphone capabilities necessary for using the BlinkLab app.
  2. Previous Enrollment: Subjects who have been previously enrolled in any BlinkLab clinical study.
  3. Location of at home testing: Not being able to complete all remote at-home study sessions within the US.
  4. 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.

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

设计细节

队列和干预

团体/队列
干预/治疗
Model Development Group - Children evaluated for neurodevelopmental conditions.
Children aged 2-11 who have formally been evaluated for neurodevelopmental conditions in the 12 months prior to the enrollment date. This includes children with and without autism, children with other neurodevelopmental conditions and children eventually not diagnosed with any neurodevelopmental condition.
BlinkLab Dx1 is a machine learning-based algorithm that generates a continuous score reflecting likelihood of autism from neurobehavioral responses (including measures such as pre-pulse inhibition and habituation, motor activity, and vocalizations) recorded during standardized video-watching sessions in a mobile application. Pre-specified thresholds, determined during model development and fixed prior to evaluation in the independent test dataset, are applied to categorize results as " Positive for autism", "Intermediate" or "Nagative for autism". Results in the intermediate category are considered indeterminate and are excluded from primary diagnostic performance analyses, which are based on participants with definitive positive or negative test results.
The clinical reference standard is a retrospective neurodevelopmental diagnostic assessment conducted within 12 months prior to enrollment, based on DSM-5 criteria. Participants are classified as having or not having an autism diagnosis based on the documented diagnostic conclusions of these assessments.
Model Testing Group - Children evaluated for neurodevelopmental conditions.
Children aged 2-11 who have formally been evaluated for neurodevelopmental conditions in the 12 months prior to the enrollment date. This includes children with and without autism, children with other neurodevelopmental conditions and children eventually not diagnosed with any neurodevelopmental condition. Data collection for this group is blinded.
BlinkLab Dx1 is a machine learning-based algorithm that generates a continuous score reflecting likelihood of autism from neurobehavioral responses (including measures such as pre-pulse inhibition and habituation, motor activity, and vocalizations) recorded during standardized video-watching sessions in a mobile application. Pre-specified thresholds, determined during model development and fixed prior to evaluation in the independent test dataset, are applied to categorize results as " Positive for autism", "Intermediate" or "Nagative for autism". Results in the intermediate category are considered indeterminate and are excluded from primary diagnostic performance analyses, which are based on participants with definitive positive or negative test results.
The clinical reference standard is a retrospective neurodevelopmental diagnostic assessment conducted within 12 months prior to enrollment, based on DSM-5 criteria. Participants are classified as having or not having an autism diagnosis based on the documented diagnostic conclusions of these assessments.

研究衡量的是什么?

主要结果指标

结果测量
措施说明
大体时间
Sensitivity of BlinkLab Dx1
大体时间:Baseline (including index test completed during the enrollment period and reference standard diagnosis from assessments conducted within 12 months prior to enrollment)
Sensitivity of BlinkLab Dx1, defined as the proportion of participants with a positive clinical reference standard diagnosis of autism who are correctly identified as positive by the index test.
Baseline (including index test completed during the enrollment period and reference standard diagnosis from assessments conducted within 12 months prior to enrollment)
Specificity of BlinkLab Dx1
大体时间:Baseline (including index test completed during the enrollment period and reference standard diagnosis from assessments conducted within 12 months prior to enrollment)
Specificity of the BlinkLab Dx1 algorithm, defined as the proportion of participants without a clinical reference standard diagnosis of autism who are correctly identified as negative by the index test.
Baseline (including index test completed during the enrollment period and reference standard diagnosis from assessments conducted within 12 months prior to enrollment)

次要结果测量

结果测量
措施说明
大体时间
Adverse Events
大体时间:During individual enrollment period (up to 30 days)
A qualitative description of any adverse events that occurred during the study from the time of informed consent until the completion of the diagnostic evaluation.
During individual enrollment period (up to 30 days)
Usability
大体时间:During the individual enrollment period (up to 30 days)
The usability of the device for parents/caregivers in relation to the use-related risk analysis identified risks.
During the individual enrollment period (up to 30 days)
Autism Symptom Severity
大体时间:Baseline (including neurodevelopmental assessment data from up to 12 months prior to enrollment and a single SRS-2 assessment collected once during the enrollment period [up to 30 days after enrollment])
Based on prospectively collected SRS-2 questionnaire scores and retrospectively collected standardized autism assessment results documented in the neurodevelopmental assessment report.
Baseline (including neurodevelopmental assessment data from up to 12 months prior to enrollment and a single SRS-2 assessment collected once during the enrollment period [up to 30 days after enrollment])
Positive Predictive Value (PPV) of BlinkLab Dx1
大体时间:Baseline (including index test completed during the enrollment period and reference standard diagnosis from assessments conducted within 12 months prior to enrollment)
Positive predictive value, defined as the proportion of participants with a positive BlinkLab Dx1 test result who have a positive clinical reference standard diagnosis of autism.
Baseline (including index test completed during the enrollment period and reference standard diagnosis from assessments conducted within 12 months prior to enrollment)
Negative Predictive Value of BlinkLab Dx1
大体时间:Baseline (including index test completed during the enrollment period and reference standard diagnosis from assessments conducted within 12 months prior to enrollment)
Negative predictive value, defined as the proportion of participants with a negative BlinkLab Dx1 test result who do not have a clinical reference standard diagnosis of autism.
Baseline (including index test completed during the enrollment period and reference standard diagnosis from assessments conducted within 12 months prior to enrollment)
False Positive Rate of BlinkLab Dx1
大体时间:Baseline (including index test completed during the enrollment period and reference standard diagnosis from assessments conducted within 12 months prior to enrollment)
False positive rate, defined as the proportion of participants without a clinical reference standard diagnosis of autism who are incorrectly identified as positive by the BlinkLab Dx1 index test.
Baseline (including index test completed during the enrollment period and reference standard diagnosis from assessments conducted within 12 months prior to enrollment)
False Negative Rate of BlinkLab Dx1
大体时间:Baseline (including index test completed during the enrollment period and reference standard diagnosis from assessments conducted within 12 months prior to enrollment)
False negative rate, defined as the proportion of participants with a clinical reference standard diagnosis of autism who are incorrectly identified as negative by the BlinkLab Dx1 index test.
Baseline (including index test completed during the enrollment period and reference standard diagnosis from assessments conducted within 12 months prior to enrollment)
Accuracy of BlinkLab Dx1
大体时间:Baseline (including index test completed during the enrollment period and reference standard diagnosis from assessments conducted within 12 months prior to enrollment)
Accuracy, defined as the proportion of all participants who are correctly classified by the BlinkLab Dx1 index test (i.e., the sum of true positives and true negatives divided by the total number of participants), relative to the clinical reference standard diagnosis.
Baseline (including index test completed during the enrollment period and reference standard diagnosis from assessments conducted within 12 months prior to enrollment)

其他结果措施

结果测量
措施说明
大体时间
Timing Task Performance
大体时间:Single time point during enrollment period (up to 30 days after enrollment)
Performance on the BlinkLab timing task and its relation with ADHD symptom severity as measured with the modified Vanderbilt ADHD Diagnostic Parent Rating Scale (VADRS)
Single time point during enrollment period (up to 30 days after enrollment)
Go/No-Go Taks Performance
大体时间:Single time point during enrollment period (up to 30 days after enrollment)
Performance on the Blinklab go/no-go task and its relation with ADHD symptom severity as measured with the VADRS.
Single time point during enrollment period (up to 30 days after enrollment)
Latency Task Performance
大体时间:Single time point during enrollment period (up to 30 days after enrollment)
Performance on the Blinklab latency task and its relation with ADHD symptom severity as measured with the VADRS.
Single time point during enrollment period (up to 30 days after enrollment)

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始 (实际的)

2025年2月15日

初级完成 (估计的)

2026年9月1日

研究完成 (估计的)

2026年12月1日

研究注册日期

首次提交

2026年5月11日

首先提交符合 QC 标准的

2026年5月11日

首次发布 (实际的)

2026年5月15日

研究记录更新

最后更新发布 (实际的)

2026年5月15日

上次提交的符合 QC 标准的更新

2026年5月11日

最后验证

2026年5月1日

更多信息

与本研究相关的术语

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)?

未定

IPD 计划说明

BlinkLab is a publicly listed company holding patents related to the BlinkLab Dx technology. The sponsor intends to evaluate mechanisms for sharing de-identified, non-proprietary participant-level data with qualified academic investigators under data use agreements that protect participant privacy and BlinkLab's intellectual property. Any shared data will exclude raw video, audio, or algorithmic outputs that are proprietary or potentially identifiable.

药物和器械信息、研究文件

研究美国 FDA 监管的药品

不

研究美国 FDA 监管的设备产品

是的

在美国制造并从美国出口的产品

不

此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.

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