How AI can improve childhood mental health care | Bryn Loftness | TEDxUniversityofMississippi
How can a young child be expected to communicate the intricacies of their feelings? How do parents determine if a child’s behavior should be of greater concern? Bryn Loftness unveils AI-driven solutions designed to help identify and predict mental health concerns in young children. Listen and explore how technology is revolutionizing early detection, providing invaluable insights to parents and providers, and nurturing emotional well-being from the earliest years.
Bryn Loftness is a passionate researcher addressing the existing gaps in current pediatric and family-care mental health resources. Loftness develops machine algorithms integrating wearable sensors, health records, and off-body sensors to unlock insights into human behavior and well-being. She envisions the application of these new technologies revolutionizing the modern mental health care system, starting at the crucial early stages of life when children have the greatest potential for long-term success. Loftness is currently a PhD candidate in the Complex Systems and Data Science program at University of Vermont and a National Science Foundation Graduate Research Fellow. She also holds a Visiting Researcher position in the Sabeti Lab and the Brown University MAPPS Center through her affiliation with the Broad Institute of MIT and Harvard. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at
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