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.
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.
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.
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.
Inclusion Criteria:
Exclusion Criteria:
jeffrey.newcorn@mssm.edu212-659-8705
beth.krone@mssm.edu212 241 8012
New York, New York 10029, United States
beth.krone@mssm.edu212 241 8012