This technology is a digital mental health platform that passively monitors addictive screen-use behaviors to detect early suicide risk and deliver adaptive interventions before clinical crises occur.
Current approaches to digital mental health largely focus on total screen time or self-initiated clinical reporting, which fail to capture the addictive patterns of use most strongly associated with suicidal behaviors and mental health deterioration. There are no widely deployed systems that can continuously monitor addictive screen-use trajectories, detect early worsening risk, and intervene before symptoms escalate. As a result, high-risk individuals are often identified too late, after significant psychological harm has already occurred. There is a critical need for scalable, evidence-based tools that enable early detection, risk stratification, and proactive intervention to target addiction-related digital mental health crises.
This technology is a software-based digital mental health platform that passively monitors social media and gaming behavior across devices to identify high-risk addictive screen-use trajectories. By moving beyond total screen time, it detects patterns associated with elevated risk of depression, suicidal ideation, and suicidal behaviors. When predefined risk thresholds are exceeded, the system triggers validated mental health assessments and deploys curated, evidence-based digital interventions. For individuals with persistent or severe risk, the platform escalates care through professional referral or emergency guidance, enabling early detection and proactive intervention before clinical crises develop.
This technology has been validated with a large-scale, longitudinal human cohort study.
IR CU26164
Licensing Contact: Jerry Kokoshka
