Using AI to Improve Rehabilitation for Patients with Severe Mental Disorders

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This study integrates multimodal technology, reinforcement learning, and agent-based modeling to enhance the rehabilitation of patients with severe mental disorders. It involves three phases: first, assessing user needs through community mental health facilities; second, designing and implementing gamified interventions followed by a randomized controlled trial; and third, optimizing these interventions based on user feedback and data analysis. The goal is to improve social functions and facilitate reintegration into society for these patients.

Why it matters

Who can join: the full rules

Inclusion criteria:

* Registered in the Shanghai Mental Health Information Management System,

  * Diagnosed patients with one of the six severe mental disorders: schizophrenia, schizoaffective disorder, paranoid psychosis, bipolar (affective) disorder, mental disorder due to epilepsy, and mental retardation accompanied by mental disorder,

    * Aged between 18 and 65 years old, ④ Normal vision or hearing, or within the normal range after correction, ⑤ Patients or their families have provided informed consent for this study and signed the informed consent form.

Exclusion criteria:

Patients with severe physical illnesses or organic brain diseases.

Where it's running

• Shanghai Mental Health Center
  Shanghai, China Recruiting

Study contacts

• Principal investigator: Jun Cai — Shanghai Mental Health Center
• Study coordinator: Weibo Zhang
• Email: zhangweibo600@163.com
• Phone: 86-13764694223

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.