Using collective intelligence and AI to predict risk of psychosis

Hive Mind: Harnessing Collective Intelligence for Predicting Clinical High-Risk for Psychosis Outcomes

NIH-funded research Beth Israel Deaconess Medical Center · NIH-11134887

This study is looking to help people at risk of developing psychotic disorders by using a mix of artificial intelligence and expert knowledge to better predict who might experience full-blown psychosis, so they can get early support and personalized treatments to improve their chances of recovery.

Quick facts

Grant typeR21 grant
Study typeNIH-funded research
Funding institutionBeth Israel Deaconess Medical Center NIH-funded
Lab location1 site (Boston, United States)
Project IDNIH-11134887 on NIH RePORTER

What this research studies

This research focuses on improving the prediction of clinical high-risk outcomes for individuals at risk of developing psychotic disorders. By combining artificial intelligence with human insights, the study aims to create a more accurate predictive model that can identify individuals who may convert to full psychosis. The approach emphasizes early intervention during a critical phase when the brain is vulnerable, potentially delaying or preventing the onset of psychosis. Participants may benefit from tailored therapies based on these predictions, enhancing their chances of recovery.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals identified as being at clinical high-risk for psychosis, particularly those showing early signs of psychotic symptoms.

Not a fit: Patients who have already developed full-blown psychotic disorders may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to earlier and more effective interventions for individuals at high risk of developing psychosis.

How similar studies have performed: Previous research has shown promise in using AI for predictive analytics in psychiatry, but this specific hybrid approach incorporating collective intelligence is relatively novel.

Where this research is happening

Boston, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.