Using Responsible Artificial Intelligence (AI) to Predict Online Therapy Outcome and Engagement
This research aims to develop AI-based models that predict treatment engagement and outcomes for patients in digital psychotherapy. It will use a large, real-world dataset to train the algorithms and will incorporate responsible AI practices by describing, accounting for, and mitigating bias related to mental disturbance severity and other sensitive attributes such as gender, ethnicity, and socio-demographic status.
This research aims to develop AI-based models that predict treatment engagement and outcomes for patients in digital psychotherapy. It will use a large, real-world dataset to train the algorithms and will incorporate responsible AI practices by describing, accounting for, and mitigating bias related to mental disturbance severity and other sensitive attributes such as gender, ethnicity, and socio-demographic status.
The study aligns with Swiss AI priorities on responsible AI and bias mitigation in health applications, contributing to the development of fair and effective digital mental health solutions.
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