Transforming mental health diagnostics through real-time AI processing of audio and video inputs.
In mental health diagnostics, distinguishing between actual stimuli and delusions/ hallucinations can be subjective and time-consuming. With growing user demand for mobile, AI-driven diagnostics, this grant-funded startup aimed to revolutionize the interaction between patients, clinicians, and their environment by offering instant analysis and response.
Traditional object identification and delusion differentiation methods lack scalability and immediacy. There was a pressing need for a mobile-first, real-time system that could aid in faster decision-making, improved engagement, and proactive mental health monitoring.
Prologic Technologies partnered with this Yale Startup to build a secure, AI-powered mobile application that enables:
The solution incorporated real-time AI/ML capabilities to deliver precise responses, using an intuitive UI that makes even advanced mental health monitoring accessible to the average user.
in time for object and audio recognition and delusion analysis
in user engagement in mental health tracking
Increasein adoption of new clinical workflows for proactive mental health care
scalable architecture ready for future AI feature rollouts
This Startup now offers a first-of-its-kind AI-driven tool for Delusional Patients assessment and environmental interaction, creating a new frontier in digital mental healthcare.
