Condition: Speech Sound Disorder · Sponsor: New York University
Speech Sound Disorder (SSD) affects a significant portion of school-aged children, leading to social and emotional challenges that can persist into adolescence and adulthood. The number of productions necessary for a remediated speech sound to generalize to connected speech is challenging to achieve in practice, leading clinicians to call for accessible, reliable resources allowing children to continue therapy outside of direct clinical interactions. Artificial intelligence (AI) tools hold promise as a means to extend direct service delivery in speech-language pathology, but research investigating the topic has been limited. This study (Generalization with AI Navigation using staRt, or GAINS) will measure the effects of a course of AI-mediated home practice intended to promote generalization of gains made through biofeedback treatment in a related study, Visual-acoustic Intervention with Service Delivery In-person and Via Telepractice Trial (VISIT; NCT06517225).
This description comes directly from the study's public registry record.
Tara McAllister, PhD · 212-992-9445 · tkm214@nyu.edu
Twylah Campbell, MA · 516-265-5389 · tjc10@nyu.edu
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| Montclair State University | Bloomfield, New Jersey, United States | Recruiting |
| Syracuse University | Syracuse, New York, United States | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06884943