Icahn School of Medicine at Mount Sinai
New York, 10029, United States
Location status: Recruiting
NCT Number: NCT06728969
This study aims to demonstrate the accuracy of the MT1 algorithm using the MindTension biometric sensor device as a diagnostic aid for healthcare providers in diagnosing ADHD in youth ages ≥ 6 to ≤17 years.
Interested in participating?
Request Info6 year–17 year
All sexes
Interventional
Not applicable
New York, 10029, United States
Location status: Recruiting
The study aims to demonstrate the accuracy of the MT1 algorithm. The output of the MT1 algorithm will be compared to a Gold Standard clinical diagnosis made by specialist clinician diagnosis supported by the Kiddie SADS Present and Lifetime semi-structured interview (K-SADS-PL) and norm-referenced measures of current ADHD symptom frequency and severity using the ADHD-RS-5 rating scale. Diagnosis will be scaled according to the Diagnostic and Statistical Manual of Mental Disorders- 5 (DSM-5) criteria, and made with agreement between two licensed specialists in ADHD (a Clinical Psychologist and a Psychiatrist).
Further to the above, demonstrate that the agreement between the MT1 output and the specialist clinician diagnosis will be non-inferior to the level of agreement between the clinician diagnosis with the Test of Visual Attention (TOVA) FDA cleared device.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Objective measurements of attention and inhibition.
Objective measurements of attention and inhibitory control.
Time frame: From the beginning of clinical assessment until the end of testing (approximately 1-2 days).
The outcome measure will be calculated by using the following formula:
Over All Agreement = (True Positive + True Negative) / (True Positive + True Negative + False Positive + False Negative) X 100.
Time frame: From the beginning of clinical assessment until the end of testing (approximately 1-2 days).
The outcome measure will be calculated using the following formula:
Positive Predicted Value = (True Positive) / (True Positive + False Positive) X 100
Time frame: From the beginning of clinical assessment until the end of testing (approximately 1-2 days).
The outcome measure will be calculated using the following formula:
Negative Predicted Value = (True Negative) / (True Negative + False Negative) X 100
Time frame: From the beginning of clinical assessment until the end of testing (approximately 1-2 days).
The outcome measure will be calculated using the following formula:
Sensitivity = (True Positive) / (True Positive + False Negative) X 100
Time frame: From the beginning of clinical assessment until the end of testing (approximately 1-2 days).
The outcome measure will be calculated using the following formula:
Specificity = (True Negative) / (True Negative + False Positive) X 100
Interested in participating?
Request InfoMindTension
Industry
A Prospective Comparative Study to Evaluate a Novel Algorithm Using Data Derived from a Non-Invasive Digital Biomarker As a Diagnostic Aid for ADHD in Youth Ages 6-17.
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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