US 11,938,030 B1
Artificial neural network for aligning joint replacement implants
Philipp K. Lang, Franconia, NH (US)
Filed by Philipp K. Lang, Franconia, NH (US)
Filed on Apr. 17, 2023, as Appl. No. 18/301,425.
Application 18/301,425 is a continuation of application No. 17/879,302, filed on Aug. 2, 2022, granted, now 11,660,197.
Application 17/879,302 is a continuation of application No. 17/575,810, filed on Jan. 14, 2022, granted, now 11,432,931, issued on Sep. 6, 2022.
Application 17/575,810 is a continuation of application No. 16/268,793, filed on Feb. 6, 2019, granted, now 11,278,413, issued on Mar. 22, 2022.
Claims priority of provisional application 62/626,712, filed on Feb. 6, 2018.
This patent is subject to a terminal disclaimer.
Int. Cl. A61F 2/30 (2006.01); A61F 2/32 (2006.01); A61F 2/38 (2006.01); A61F 2/40 (2006.01); A61F 2/42 (2006.01); G16H 30/40 (2018.01)
CPC A61F 2/30942 (2013.01) [A61F 2/32 (2013.01); A61F 2/38 (2013.01); A61F 2/40 (2013.01); A61F 2/4202 (2013.01); G16H 30/40 (2018.01); A61F 2002/30943 (2013.01); A61F 2002/30948 (2013.01); A61F 2002/30952 (2013.01)] 30 Claims
 
1. A system for fitting, aligning, or fitting and aligning a virtual implant component for a replacement of a joint in a patient comprising:
at least one computer system comprising at least one processor,
wherein the at least one processor is configured to receive imaging data of the joint of the patient,
wherein the imaging data comprises at least one image of at least a portion of a surface of the joint, wherein the imaging data comprises a CT scan, an MRI scan, an ultrasound scan, data generated based on one, two or more x-rays, a 3D scanner, a laser scanner, or combinations thereof of the joint,
wherein the at least one processor is configured to process three-dimensional (3D) data of the at least portion of the surface of the joint from the imaging data,
wherein the at least one processor is configured to access electronic data of a virtual implant component, the virtual implant component comprising a shape associated with a physical implant component, and
wherein the at least one processor is configured to use an artificial neural network to fit, align, or fit and align the virtual implant component in relationship to the 3D data of the at least portion of the surface of the joint.