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NCT05758285
Using Responsible Artificial Intelligence (AI) to Predict Online Therapy Outcome and Engagement
Conditions: Mental Health Care, Mental Disorders
Sex: All
Ages: 18 Years – N/A
Healthy volunteers: 1
Enrollment: 7000
Sponsor: University Hospital, Basel, Switzerland
Location: Switzerland
Summary
This study is to develop AI-based models for the personalised prediction of treatment engagement and treatment outcomes in patients engaging in digital psychotherapy.
A large, real-world dataset of patients in a digital psychotherapy program will be used to train AI algorithms.
Responsible AI algorithms will be developed by describing, accounting for, and mitigating bias due to severity of mental disturbances in AI-based models, in addition to considering bias due to other sensitive attributes, such as gender, ethnicity, and socio-demographic status.
Eligibility Criteria
Inclusion Criteria:Participants that were screened as eligible to take part in a Wellbeing Course trial offered at the Online Therapy Unit between Nov 4 2013 and Dec 21 2021.Participants that consented to the use of their data to evaluate and improve iCBT services.Accessed Lesson 1 of the course content and completed baseline questionnaires.Exclusion Criteria:Data will only be excluded in case of errors in data collection
Source: ClinicalTrials.gov (NCT05758285). StuddyBuddy aggregates publicly available trial information.