This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
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).
Randomized Trial of AI-Enhanced Maintenance Training With Visual-Acoustic Biofeedback
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: New York University
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.