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Adaptive AI system identifies mental illness behaviors, modifies treatment plans

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Summary

USPTO published patent application US20260094689A1 for an adaptive AI system that identifies behaviors associated with mental illness and modifies treatment plans. The system predicts typical and aberrant physiological reactions to psychiatric counseling using demographic and biometric data. Filed by Federal Leadership Institute, Inc.

Published by USPTO on changeflow.com . Detected, standardized, and enriched by GovPing. Review our methodology and editorial standards .

What changed

This patent application (US20260094689A1, published April 2, 2026) covers an adaptive artificial intelligence system designed to predict typical and aberrant physiological reactions of patients undergoing psychiatric counseling. The system determines and calculates treatment plans based on demographic and biometric data, with the ability to modify plans based on emergent recognition of reaction types—reclassifying previously typical reactions as aberrant and vice versa. The application includes CPC classifications related to healthcare AI, medical data, and mental health diagnosis.

This is a patent application publication, not a binding regulatory requirement. Healthcare providers and technology companies developing similar AI-driven mental health tools should review the claims to understand potential patent landscape implications for their own product development. No compliance deadline or penalties are associated with this document. The application was filed on May 6, 2025, under application number 19200439.

Archived snapshot

Apr 2, 2026

GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.

← USPTO Patent Applications

ADAPTIVE ARTIFICIAL INTELLIGENCE SYSTEM FOR IDENTIFYING BEHAVIORS ASSOCIATED WITH MENTAL ILLNESS AND MODIFYING TREATMENT PLANS BASED ON EMERGENT RECOGNITION OF ABERRANT REACTIONS

Application US20260094689A1 Kind: A1 Apr 02, 2026

Assignee

Federal Leadership Institute, Inc.

Inventors

Laura GRANATO, Michael M. KOHONOSKI, Thomas REIGLE

Abstract

One or more embodiments described herein relate to predicting, using adaptive artificial intelligence techniques, typical and aberrant physiological reactions of a patient to psychiatric counseling. Treatment plans can be determined and calculated based on previously-gathered demographic and/or biometric data, and/or modifications to treatment plans can be determined and/or implemented based on emergent recognition of reaction types, such as reclassifying reactions that would previously have been deemed typical as aberrant (or vice versa).

CPC Classifications

G16H 20/70 G06N 20/00 G16H 10/60 G16H 50/20 G16H 50/50 G16H 50/70

Filing Date

2025-05-06

Application No.

19200439

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Named provisions

Abstract Filing Date Application No. CPC Classifications Inventors Assignee

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Last updated

Classification

Agency
USPTO
Published
April 2nd, 2026
Instrument
Notice
Legal weight
Non-binding
Stage
Final
Change scope
Minor
Document ID
US20260094689A1
Docket
19200439

Who this affects

Applies to
Healthcare providers Technology companies
Industry sector
3341 Computer & Electronics Manufacturing 6211 Healthcare Providers 5112 Software & Technology
Activity scope
Medical AI Systems Mental Health Treatment Biometric Data Processing
Geographic scope
United States US

Taxonomy

Primary area
Healthcare
Operational domain
Compliance
Topics
Artificial Intelligence Medical Devices Data Privacy

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