For the Inventor, By the Inventor

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Menlo Park, CA, United States of America

Gauss Surgical, Inc.

Calculating rank

USPTO Granted Patents = 41

CIPO Patents = 3

EPO Patents = 10

Forward Citations = 1,244

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20 inventors (with patents filed for the assignee):

Siddarth Satish (41 out of 55 patents)

Kevin J Miller (40 out of 55 patents)

Ali Zandifar (18 out of 23 patents)

4. Andrew T Hosford (14 out of 21 patents)

5. Juan Carlos Aragon (6 out of 8 patents)

6. Milton McColl (4 out of 4 patents)

7. Eric W Hsieh (3 out of 12 patents)

8. Peter S Hyoung (3 out of 3 patents)

9. Titas De (3 out of 3 patents)

10. Michael Hsieh (2 out of 2 patents)

11. Mayank Kumar (2 out of 6 patents)

12. Julian Thayn (1 out of 2 patents)

13. Christopher Madison (1 out of 1 patent)

14. Eric Lindquist (1 out of 1 patent)

15. Yaser Yacoob (1 out of 1 patent)

Core Competencies:

Blood Component Estimation

Fluid Characterization

Surgical Item Tracking

Extracorporeal Blood Volume

Blood Loss Management

Blood Transfusion Parameters

Fluid Canister Analysis

Weight-Based Fluid Loss Estimation

41 patents: Sort by Forward Citations

1. 12093779 - Methods and systems for processing an image (2024-09-17),

2. 12002211 - Methods and systems for characterizing fluids from a patient (2024-06-04),

3. 11922646 - Tracking surgical items with prediction of duplicate imaging of items (2024-03-05),

4. 11836915 - System and method for estimating a quantity of a blood component in a fluid canister (2023-12-05),

5. 11790637 - Method for estimating blood component quantities in surgical textiles (2023-10-17),

6. 11783503 - Systems and method for estimating extracorporeal blood volume in a physical sample (2023-10-10),

7. 11769022 - Methods and systems for processing an image (2023-09-26),

8. 11727572 - Methods and systems for characterizing fluids from a patient (2023-08-15),

9. 11712183 - System and methods for managing blood loss of a patient (2023-08-01),

10. 11670143 - Method for estimating a quantity of a blood component in a fluid receiver and corresponding error (2023-06-06),

11. 11666226 - Method for projecting blood loss of a patient during a surgery (2023-06-06),

12. 11504037 - Systems and methods for assessing fluids from a patient (2022-11-22),

13. 11410311 - Methods and systems for characterizing fluids from a patient (2022-08-09),

14. 11333545 - System and method for estimating an amount of a blood component in a volume of fluid (2022-05-17),

15. 11282194 - Method for estimating blood component quantities in surgical textiles (2022-03-22),

Company Overview

Gauss Surgical, Inc. is a technology company based in Menlo Park, California, specializing in innovative solutions for blood management in surgical settings. The company focuses on advanced image processing and fluid characterization to enhance surgical item tracking and blood loss management. Their technologies aim to improve blood component estimation and monitor transfusion parameters, ultimately contributing to safer surgical practices and better patient outcomes. Gauss Surgical is dedicated to transforming the landscape of surgical care through its cutting-edge developments.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Nov 10 2026

41 Patents

#38 in Menlo Park, CA

#1,996 in California

#8,458 in US

#16,752 in the World

Menlo Park, CA, United States of America

Gauss Surgical, Inc.

Forward Citations = 1,244

20 inventors:

Siddarth Satish (41 out of 55 patents)

Kevin J Miller (40 out of 55 patents)

Ali Zandifar (18 out of 23 patents)

4. Andrew T Hosford (14 out of 21 patents)

5. Juan Carlos Aragon (6 out of 8 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Gauss Surgical, Inc.. Retrieved from https://idiyas.com/company/gauss-surgical

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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