View source for 20240041529. DEVICE FOR MODELING CERVICAL ARTIFICIAL DISC BASED ON ARTIFICIAL INTELLIGENCE AND METHOD THEREOF simplified abstract (HealthHub Co.,Ltd.)

=DEVICE FOR MODELING CERVICAL ARTIFICIAL DISC BASED ON ARTIFICIAL INTELLIGENCE AND METHOD THEREOF=


==Organization Name==

[[:Category:HealthHub Co.,Ltd.|HealthHub Co.,Ltd.]]


[[Category:HealthHub Co.,Ltd.]]

==Inventor(s)==

[[:Category:Byung Hoon Lee of Seoul (KR)|Byung Hoon Lee of Seoul (KR)]][[Category:Byung Hoon Lee of Seoul (KR)]]

[[:Category:Byung II Lee of Seoul (KR)|Byung II Lee of Seoul (KR)]][[Category:Byung II Lee of Seoul (KR)]]

[[:Category:Shi Sub Byon of Seoul (KR)|Shi Sub Byon of Seoul (KR)]][[Category:Shi Sub Byon of Seoul (KR)]]

==DEVICE FOR MODELING CERVICAL ARTIFICIAL DISC BASED ON ARTIFICIAL INTELLIGENCE AND METHOD THEREOF - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240041529 titled 'DEVICE FOR MODELING CERVICAL ARTIFICIAL DISC BASED ON ARTIFICIAL INTELLIGENCE AND METHOD THEREOF

==Simplified Explanation==

The present invention is a device and method for modeling cervical artificial discs using artificial intelligence. It involves generating a model of a target cervical artificial disc by training a learning model to estimate the positions of landmarks in medical images. These landmarks define the available space in which the cervical artificial disc is located. The method further includes estimating the landmarks by inputting data from a medical image of the available space into the learning model, generating the available space for inserting the target cervical artificial disc based on the estimated landmarks, and extracting shape information for surfaces and edges of the cervical artificial disc from the medical image in the generated available space.

* The invention uses artificial intelligence to generate a model of a target cervical artificial disc.
* It trains a learning model to estimate the positions of landmarks in medical images.
* The landmarks define the available space in which the cervical artificial disc is located.
* The method estimates the landmarks by inputting data from a medical image into the learning model.
* It generates the available space for inserting the target cervical artificial disc based on the estimated landmarks.
* Shape information for surfaces and edges of the cervical artificial disc is extracted from the medical image in the generated available space.

Potential applications of this technology:
* Improved modeling of cervical artificial discs for surgical planning.
* Enhanced accuracy in determining the available space for inserting a cervical artificial disc.
* Better understanding of the shape and structure of cervical artificial discs.

Problems solved by this technology:
* Difficulty in accurately modeling cervical artificial discs.
* Challenges in estimating the positions of landmarks in medical images.
* Limited understanding of the available space for inserting a cervical artificial disc.

Benefits of this technology:
* More precise surgical planning for cervical artificial disc replacement.
* Reduced risk of complications during cervical artificial disc surgery.
* Improved outcomes and patient satisfaction in cervical artificial disc procedures.


==Original Abstract Submitted==

the present invention relates to a device for modeling cervical artificial disc based on artificial intelligence and a method thereof, comprising generating and outputting a model of a target cervical artificial disc, by generating a learning model to estimate positions of a plurality of landmarks through training various shapes of medical images with the plurality of landmarks assigned to define an available space in which the cervical artificial disc is located, estimating the plurality of landmarks by inputting input data generated from a medical image of the available space in which the target cervical artificial disc is to be positioned into the generated learning model, generating the available space for inserting the target cervical artificial disc based on estimated landmarks, and extracting and incorporating shape information for surfaces and edges of the cervical artificial disc from the medical image in the generated available space.



[[Category:A61B34/10]]
[[Category:G16H50/50]]
[[Category:G06T7/33]]
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