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:
Oct. 11, 2022

Filed:

May. 22, 2020
Applicant:

Hitachi, Ltd., Tokyo, JP;

Inventors:

Yuko Sano, Tokyo, JP;

Yusuke Seki, Tokyo, JP;

Nobutaka Abe, Tokyo, JP;

Takafumi Shimamoto, Tokyo, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 34/20 (2016.01); A61B 34/10 (2016.01); A61B 90/00 (2016.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01);
U.S. Cl.
CPC ...
A61B 34/20 (2016.02); A61B 34/10 (2016.02); A61B 90/37 (2016.02); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); A61B 2034/107 (2016.02); A61B 2034/2059 (2016.02); G06T 2207/20021 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30016 (2013.01); G06T 2207/30096 (2013.01);
Abstract

The accuracy of an intervention site in surgery is predicted and the predicted intervention site is presented to a surgeon. A surgery support apparatus includes a prediction data generation unit that generates prediction data predicting an intervention site based on data before an intervention using an artificial intelligence algorithm. The artificial intelligence algorithm is an artificial intelligence algorithm learning an intervention site by analyzing data before the intervention and intervention site data for an object, and outputs coordinates, a region, or a shape of one point of the intervention site as prediction data. Data before the intervention used for learning of the artificial intelligence algorithm and input data input to the artificial intelligence algorithm to generate prediction data correspond to image data, a segment image, a feature point, etc. The prediction data is displayed on a display apparatus together with an image of a patient acquired in advance.


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