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:
Feb. 21, 2023

Filed:

Aug. 11, 2020
Applicant:

Nano-x Ai Ltd., Shefayim, IL;

Inventors:

Amir Bar, Berkeley, CA (US);

Raouf Muhamedrahimov, San Francisco, CA (US);

Rachel Wities, Givat Shmuel, IL;

Assignee:

Nano-X AI Ltd., Shefayim, IL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06T 7/00 (2017.01); G06F 40/20 (2020.01); G16H 30/40 (2018.01); G06N 20/00 (2019.01); G16H 15/00 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06F 40/20 (2020.01); G06N 20/00 (2019.01); G16H 15/00 (2018.01); G16H 30/40 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30016 (2013.01);
Abstract

There is provided a method, comprising: providing a training dataset including, medical images and corresponding text based reports, and concurrently training a natural language processing (NLP) machine learning (ML) model for generating a NLP category for a target text based report and a visual ML model for generating a visual finding for a target image, by: training the NLP ML model using the text based reports of the training dataset and a ground truth comprising the visual finding generated by the visual ML model in response to an input of the images corresponding to the text based reports of the training dataset, and training the visual ML model using the images of the training dataset and a ground truth comprising the NLP category generated by the NLP ML model in response to an input of the text based reports corresponding to the images of the training dataset.


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