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:
Mar. 25, 2025

Filed:

Jul. 20, 2023
Applicant:

Agada Medical Ltd., Kfar Vitkin, IL;

Inventors:

Samuel Shannon, Karmei Yosef, IL;

Adi Dagan, Zichron Yaakov, IL;

Jacov Blank, Ramat Hasharon, IL;

Or Meir David, Herzliya, IL;

Damon Eugene Mar, The Colony, TX (US);

Isador Lieberman, Plano, TX (US);

Assignee:

AGADA MEDICAL LTD., Kfar Vitkin, IL;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
A61B 34/10 (2016.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01); G16H 15/00 (2018.01); G16H 50/30 (2018.01);
U.S. Cl.
CPC ...
A61B 34/10 (2016.02); G16H 20/40 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01); A61B 2034/102 (2016.02); A61B 2034/104 (2016.02); A61B 2034/105 (2016.02); A61B 2034/108 (2016.02); G16H 15/00 (2018.01); G16H 30/20 (2018.01); G16H 50/30 (2018.01);
Abstract

Methods and systems for evaluating the biomechanical properties of a subject's spine for the purpose of optimizing a potential surgical intervention by selecting or designing surgical hardware fora spinal correction procedure. The system uses a simulated dynamic analysis configured to analyze, predict and improve the outcome of the surgical procedure by taking into account physiological, biomechanical, and anatomical factors. Machine learning algorithms use the computed distribution of forces and moments on the subject's spine, and compare the subject's results with those of patients from a reference population. By analyzing the biomechanical parameters of individuals in the reference population and distinguishing those whose procedure succeeded versus those whose procedure failed, and comparing their biomechanical parameters to these of the individual under evaluation for a spinal surgery, the method is able to predict the chances for a successful surgery, recommend an optimal procedure and/or the optimal implant(s) configuration.


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