Using an AI assistant to screen for suicide, depression, and anxiety

Suicide, depression, and anxiety screening using an automated virtual assistant

NIH-funded research Spreading Activation Technologies, LLC · NIH-10695410

This study is testing a new app called Clairity™ that uses smart technology to help spot signs of suicide, depression, and anxiety by listening to how people talk, making it easier for schools and healthcare providers to support those who might need help.

Quick facts

Grant typeSbir 1 grant
Study typeNIH-funded research
Funding institutionSpreading Activation Technologies, LLC NIH-funded
Lab location1 site (Mason, United States)
Project IDNIH-10695410 on NIH RePORTER

What this research studies

This research aims to develop an AI-enabled application called Clairity™ that automates the screening process for individuals at risk of suicide, depression, and anxiety. By utilizing natural language processing, the app analyzes speech and verbal cues to identify patterns that indicate mental health risks. This approach seeks to overcome the limitations of traditional screening methods, which often rely on subjective interpretation and are hindered by a shortage of mental health professionals. The goal is to provide a reliable and objective tool that can be used in various settings, such as schools and healthcare facilities, to guide at-risk individuals toward necessary interventions.

Who could benefit from this research

Good fit: Ideal candidates for this research include individuals who may be experiencing symptoms of depression, anxiety, or suicidal thoughts, particularly those who have not yet received screening.

Not a fit: Patients who are already receiving comprehensive mental health care or those without access to the technology required for the AI screening may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to earlier identification and treatment of individuals at risk for suicide and mental health issues, potentially saving lives.

How similar studies have performed: Previous research has shown promise in using AI and machine learning for mental health assessments, indicating that this approach could be a significant advancement in the field.

Where this research is happening

Mason, 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 2026-06-15 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.