Intellectual Property India Publishes Patent Application for An Adaptive Artificial-Intelligence Framework For Personalized Mental Health Assessment With Safety-First Crisis Escalation And Clinician Oversight

MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202641093701 A) filed by Prof. Mamatha M; Dr. Manjunath K V; Dr. Vasantha M; Prof. Jummanna B Sasanur; Prof. Laxmi Jayannavar; and G Sowmya Rani on August 03, 2026, for An Adaptive Artificial-Intelligence Framework For Personalized Mental Health Assessment With Safety-First Crisis Escalation And Clinician Oversight.

Inventors include Prof. Mamatha M; Dr. Manjunath K V; Dr. Vasantha M; Prof. Jummanna B Sasanur; Prof. Laxmi Jayannavar; and G Sowmya Rani.

The application for the patent was published on August 07, 2026, under issue no. 32/2026.

Abstract: ABSTRACT OF THE INVENTION Title: AN ADAPTIVE ARTIFICIAL-INTELLIGENCE FRAMEWORK FOR PERSONALIZED MENTAL HEALTH ASSESSMENT WITH SAFETY-FIRST CRISIS ESCALATION AND CLINICIAN OVERSIGHT The invention relates to an adaptive artificial-intelligence framework for personalized mental health assessment that overcomes the limitations of population-thresholded and unimodal prior art. The framework comprises a user self-report and check-in input (101), a voice/audio input (102), a passive wearable and sensor data ingest (103) and a behavioural interaction patterns collector (104) which jointly collect multi-modal signals from a consenting user; a privacy-preserving normalization layer (105); a personal baseline learner (106) that continuously updates a per-user model of stable signal distribution; a multi-modal adaptive encoder (107); an adaptive assessment engine (108) implemented as a domain-adapted LLM calibrated against validated clinical scales in a clinical scale and guideline knowledge base (110); a safety-first risk stratification module (109); a longitudinal tracking store (111); a personalized intervention recommender (112); a crisis escalation gateway (113); a user-facing feedback interface (114); and a clinician oversight dashboard (115). Assessment is expressed in personalised deviation-from-baseline terms; crisis-tier outputs are routed immediately to human clinicians or crisis resources prior to any intervention recommendation; and every automated action is auditable via the clinician oversight dashboard. The framework is expressly decision-support for clinicians and is not a substitute for professional mental-health care. Number of Claims: 5 Number of Drawings: 3

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