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Mental Health Diagnostics Using Audio Data

Publisher STIMAnalytics
Published Apr 12, 2026
Length 210 Pages
SKU # Inno21117631

Description

This report is the first of a series of patent landscape reports on mental health diagnostics using audio data technology by STIMAnalytics. It presents the results of patent analyses in the mental health diagnostics using audio data domain, which were performed by STIMAnalytics AI-Powered service in collaboration with experts in patent knowledge and subject-matter. The aim of this report is to provide a summary of the main patent trends in mental health diagnostics using audio data production technology and related areas.

Patent information is a valuable source of technical information on patented inventions that reflect the commercial expectations of the applicants. Patent information often contains technical and other information that is not available from any other source. This report can be useful as an information source in the mental health diagnostics using audio data area.

The number of inventions in mental health diagnostics using audio data area has grown significantly in recent years. The number of inventions in this field includes the analysis of 3355 patents of various companies over the period from 1982 to 2026. The figure on the next page shows the number of International Patent Families in mental health diagnostics using audio data sector and in all technical fields, as a function of the year when the inventions were first disclosed to the public.The report's methodology relies on AI-Powered service developed by STIMAnalytics. This app uses advanced algorithms and models to meet the needs of various stakeholders (Inc. R&D managers, product managers, technologist, researchers and academics) in established or emerging technical fields.

Table of Contents

210 Pages
Key Findings
Executive Summary
1. Introduction
2. Patent Landscape Overview
2.1. Patent Family Analysis
2.2. Patent-Market Coverage
2.3. Global mental health diagnostics using audio data patent activity (Based on illnesses)
2.4. Global mental health diagnostics using audio data paten activity (Based on diagnostic methods)
2.5. Geographical jurisdiction
3. Market and Competitor Analysis
3.1. Market at a Glance
3.2. Market Share of Main Players
3.3. Some of The Main Processes in Mental Health Diagnostics Using Audio Data Production
3.4. Top Applicants
3.5. Top Mental Health Diagnostics Using Audio Data Applicants (Based on illnesses)
3.6. Top Mental Health Diagnostics Using Audio Data Applicants (Based on diagnostic methods)
3.7. Market Coverage of Top Applicants
3.8. Top Owners
3.9. Highly-Cited Applicants
3.10. Collaboration
3.10.1. Top Ten Applicants’ collaborations
3.10.2. The strongest cooperation networks
3.11. Top applicant activity
3.12. Pioneer companies in the last 5 years
3.13. Top applicant clustering
3.14. Pending patents
4. Technology Analysis
4.1. Top Technologies
4.1.1. Mental Health Diagnostics Using Audio Data Patent Trends Across Industries (Based on illnesses)
4.1.2. Mental Health Diagnostics Using Audio Data Patent Trends Across Industries (Based on diagnostic methods)
4.1.3. Top Technologies by Class
4.1.4. Top Technologies by Sub-Class
4.1.5. Top Technologies by Main-Group
4.1.6. Top Technologies by Sub-Group
4.1.7. Top Technologies and Main Trends
4.2. Five Recent dominant technologies
4.3. Key Patents
4.4. The main themes of patents
4.5. Technology clustering
4.6. Top inventors
5. Key Players’ Patent Profile
5.1. University of California
5.1.1. University of California Overview
5.1.2. Patent family analysis
5.1.3. Top Technologies
5.1.4. Collaboration
5.1.5. Key patents
5.1.6. Topic modeling
5.1.7. Patents clustering
5.2. Sanofi S.A.
5.2.1. Sanofi S.A. company Overview
5.2.2. Patent family analysis
5.2.3. Top Technologies
5.2.4. Collaboration
5.2.5. Key patents
5.2.6. Topic modeling
5.2.7. Patents clustering
5.3. Emory University
5.3.1. Emory University Overview
5.3.2. Patent family analysis
5.3.3. Top Technologies
5.3.4. Collaboration
5.3.5. Topic modeling
5.3.6. Patents clustering
5.4. IBM
5.4.1. IBM Overview
5.4.2. Patent family analysis
5.4.3. Top Technologies
5.4.4. Collaboration
5.4.5. Merge and Acquisitions
5.4.6. Key patents
5.4.7. Topic modeling
5.4.8. Patents clustering
5.5. Massachusetts Institute of Technology
5.5.1. Massachusetts Institute of Technology company Overview
5.5.2. Patent family analysis
5.5.3. Top Technologies
5.5.4. Collaboration
5.5.5. Key patents
5.5.6. Topic modeling
5.5.7. Patents clustering
5.6. Duke University
5.6.1. Duke University company Overview
5.6.2. Patent family analysis
5.6.3. Top Technologies
5.6.4. Collaboration
5.6.5. Key patents
5.6.6. Topic modeling
5.6.7. Patents clustering
5.7. Cognoa, Inc.
5.7.1. Cognoa, Inc. company Overview
5.7.2. Patent family analysis
5.7.3. Top Technologies
5.7.4. Collaboration
5.7.5. Key patents
5.7.6. Topic modeling
5.7.7. Patents clustering
5.8. Canary Speech, LLC
5.8.1. Canary Speech, LLC Overview
5.8.2. Patent family analysis
5.8.3. Top Technologies
5.8.4. Key patents
5.8.5. Topic modeling
5.8.6. Patents clustering
5.9. Azevan Pharmaceuticals, Inc.
5.9.1. Azevan Pharmaceuticals, Inc. company Overview
5.9.2. Patent family analysis
5.9.3. Top Technologies
5.9.4. Collaboration
5.9.5. Key patents
5.9.6. Topic modeling
5.9.7. Patents clustering
5.10. Indiana University Research and Technology Corporation
5.10.1. Indiana University Research and Technology Corporation Overview
5.10.2. Patent family analysis
5.10.3. Top Technologies
5.10.4. Collaboration
5.10.5. Topic modeling
5.10.6. Patents clustering
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