For the Inventor, By the Inventor

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Dallas, TX, United States of America

Spectral MD, Inc.

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USPTO Granted Patents = 15

EPO Patents = 1

Trademarks = 4

Forward Citations = 139

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14 inventors (with patents filed for the assignee):

Wensheng Fan (15 out of 16 patents)

Jeffrey E Thatcher (15 out of 15 patents)

John Michael DiMaio (13 out of 15 patents)

4. Jason Dwight (9 out of 9 patents)

5. Brian McCall (8 out of 8 patents)

6. Zhicun Gao (8 out of 17 patents)

7. Faliu Yi (5 out of 5 patents)

8. Kevin Plant (5 out of 5 patents)

9. Peiran Quan (4 out of 4 patents)

10. Ronald Baxter (4 out of 4 patents)

11. Weizhi Li (3 out of 3 patents)

12. Weirong Mo (3 out of 3 patents)

13. Shuai Yu (1 out of 2 patents)

14. Hanh Le (1 out of 1 patent)

15 patents: Sort by Forward Citations

1. 12727814 - Spectral imaging systems and methods for histological assessment of wounds (2026-09-08),

2. 12563279 - System and method for high precision snapshot multi-spectral imaging based on multiplexed illumination (2026-02-24),

3. 12444050 - Machine learning systems and methods for assessment, healing prediction, and treatment of wounds (2025-10-14),

4. 11989860 - System and method for high precision multi-aperture spectral imaging (2024-05-21),

5. 11948300 - Machine learning systems and methods for assessment, healing prediction, and treatment of wounds (2024-04-02),

6. 11631164 - System and method for high precision multi-aperture spectral imaging (2023-04-18),

7. 11599998 - Machine learning systems and methods for assessment, healing prediction, and treatment of wounds (2023-03-07),

8. 11337643 - Machine learning systems and techniques for multispectral amputation site analysis (2022-05-24),

9. 11304604 - Reflective mode multi-spectral time-resolved optical imaging methods and apparatuses for tissue classification (2022-04-19),

10. 11182888 - System and method for high precision multi-aperture spectral imaging (2021-11-23),

11. 10783632 - Machine learning systems and method for assessment, healing prediction, and treatment of wounds (2020-09-22),

12. 10750992 - Machine learning systems and techniques for multispectral amputation site analysis (2020-08-25),

13. 10740884 - System and method for high precision multi-aperture spectral imaging (2020-08-11),

14. 9962090 - Reflective mode multi-spectral time-resolved optical imaging methods and apparatuses for tissue classification (2018-05-08),

15. 9717417 - Reflective mode multi-spectral time-resolved optical imaging methods and apparatuses for tissue classification (2017-08-01),

Company Overview

Spectral MD, Inc. is a pioneering medical technology company based in Dallas, Texas, specializing in advanced imaging solutions for wound care and tissue assessment. The organization focuses on developing innovative diagnostic tools that leverage proprietary imaging technologies to enhance clinical decision-making and improve patient outcomes. By integrating artificial intelligence and machine learning into its products, Spectral MD aims to transform the landscape of healthcare, particularly in the management of chronic wounds and related conditions.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

15 Patents

#138 in Dallas, TX

#1,298 in Texas

#21,085 in US

#39,991 in the World

Dallas, TX, United States of America

Spectral MD, Inc.

Forward Citations = 139

14 inventors:

Wensheng Fan (15 out of 16 patents)

Jeffrey E Thatcher (15 out of 15 patents)

John Michael DiMaio (13 out of 15 patents)

4. Jason Dwight (9 out of 9 patents)

5. Brian McCall (8 out of 8 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Spectral MD, Inc.. Retrieved from https://idiyas.com/company/spectral-md

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

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