Researchers at the University of Alabama at Birmingham (UAB) are using artificial intelligence (AI) to help college counselors identify students who may need mental health support. The AI tool analyzes student data, such as age, gender, race, and years in school, to find patterns that may indicate a higher risk of anxiety or depression.
Dr. Yusen Zhai, director of the UAB Community Counseling Clinic, explained that many students face mental health challenges but may not seek help due to stigma or lack of access. Traditional assessments rely on students asking for help, but AI allows counselors to take a proactive approach.
This AI model does not use medical records but instead looks at socioeconomic factors linked to mental health issues. It helps counselors prioritize the most at-risk students and offer support before problems worsen. The tool also highlights how factors like gender, race, financial stress, and disability status can increase mental health risks.
According to a 2023 survey, 76% of U.S. college students experience moderate to serious psychological distress. However, only a small percentage seek help. Zhai’s AI model could improve student well-being by ensuring more students receive early support.
In the future, this AI system may also be used in high schools to help teachers and school psychologists identify students who might need mental health support.
Source: govtech
