The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 13, 2023

Filed:

Sep. 05, 2019
Applicant:

Pearl Inc., West Hollywood, CA (US);

Inventors:

Cambron Neil Carter, Los Angeles, CA (US);

Nandakishore Puttashamachar, Los Angeles, CA (US);

Rohit Sanjay Annigeri, Los Angeles, CA (US);

Joshua Alexander Tabak, Los Angeles, CA (US);

Nishita Kailashnath Sant, Los Angeles, CA (US);

Ophir Tanz, Los Angeles, CA (US);

Adam Michael Wilbert, Los Angeles, CA (US);

Mustafa Alammar, Los Angeles, CA (US);

Assignee:

Pearl Inc., West Hollywood, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06N 20/00 (2019.01); G06T 11/60 (2006.01); G06F 18/21 (2023.01); G06F 18/2431 (2023.01); G06V 10/25 (2022.01); G06V 10/764 (2022.01); G06V 10/776 (2022.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); G06F 18/217 (2023.01); G06F 18/2431 (2023.01); G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G06T 11/60 (2013.01); G06V 10/25 (2022.01); G06V 10/764 (2022.01); G06V 10/776 (2022.01); G16H 50/20 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30036 (2013.01); G06V 2201/03 (2022.01);
Abstract

Systems and methods are provided for automatically marking locations within a radiograph of one or more dental pathologies, anatomies, anomalies or other conditions determined by automated image analysis of the radiograph by a number of different machine learning models. Image annotation data may be generated based at least in part on obtained results associated with output of the multiple machine learning models, where the image annotation data indicates at least one location in the radiograph and an associated dental pathology, restoration, anatomy or anomaly detected at the at least one location by at least one of the machine learning models. A number of different pathologies may be identified and their locations marked within a single radiograph image.


Find Patent Forward Citations

Carter, Cambron. (2023). Systems and methods for automated medical image analysis (U.S. Patent No. 11676701). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11676701

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

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