Systems and methods for assisting and augmenting surgical procedures
Inventors
Roh, Jeffrey • Esterberg, Justin
Assignees
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Publication Number
US-12274506-B2
Publication Date
2025-04-15
Expiration Date
Abstract
Systems and methods for providing assistance to a surgeon during an implant surgery are disclosed. A method includes defining areas of interest in diagnostic data of a patient and defining a screw bone type based on the surgeon's input. Post defining the areas of interest, salient points are determined for the areas of interest. Successively, an XZ angle, an XY angle, and a position entry point for a screw are determined based on the salient points of the areas of interest. Successively, a maximum screw diameter and a length of the screw are determined based on the salient points. Thereafter, the screw is identified and suggested to the surgeon for usage during the implant surgery.
Core Innovation
The invention relates to a computer-implemented method and related computing system for providing surgical assistance by using one or more images of a patient and at least one trained machine learning model to design a patient-specific implant. The method analyzes the one or more images to identify one or more implantation sites along a patient's spine and generates a virtual model of the patient's spine for review by a user, where the virtual model includes an implant location for a virtual patient-specific implant representing the patient-specific implant.
The method receives design criteria from the user associated with the one or more implantation sites and the patient-specific implant, and predicts, using the virtual model, whether the virtual patient-specific implant achieves an acceptable outcome based on the design criteria. When the virtual patient-specific implant achieves an unacceptable outcome, the method receives alternative option input from the user, updates the design criteria based on the alternative option input, and analyzes the updated design criteria using the virtual model to determine whether the updated design criteria causes the virtual patient-specific implant to achieve the acceptable outcome.
After the updated design criteria cause the virtual patient-specific implant to achieve the acceptable outcome, the method generates a design of the patient-specific implant that fits with one or more vertebral bodies of the virtual model based on the updated design criteria. The invention is also recited for generating manufacturing data and manufacturing the patient-specific implant using 3D-printing based on the received manufacturing data.
Claims Coverage
The provided claims include four independent claims: a method, a computing system, a non-transitory computer-readable storage medium, and a manufacturing method. They center on a trained machine learning model, a virtual model, user-provided design criteria, iterative update based on acceptable versus unacceptable outcomes, and generation of a patient-specific implant design that fits one or more vertebral bodies.
Iterative virtual-model implant design from patient images using a trained machine learning model
Receiving one or more images of a patient; using at least one trained machine learning model for designing a patient-specific implant by analyzing the images to identify one or more implantation sites along a patient's spine; generating a virtual model of the patient's spine for review by a user with an implant location for a virtual patient-specific implant; receiving user design criteria; predicting whether the virtual patient-specific implant achieves an acceptable outcome; receiving alternative option input when the outcome is unacceptable; updating the design criteria; analyzing the updated design criteria using the virtual model; and generating a design of the patient-specific implant that fits with one or more vertebral bodies of the virtual model.
Computing system for iterative virtual-model implant design with acceptable outcome prediction
A computing system with processors and memories storing instructions to perform the same patient-image analysis, virtual-model generation, design-criteria input, acceptable outcome prediction, alternative option input, updating, and implant design generation process.
Non-transitory storage medium for iterative virtual-model implant design
A non-transitory computer-readable storage medium storing instructions that cause a computing system to receive patient images, use at least one trained machine learning model, generate a virtual model, receive design criteria, predict acceptable outcome, update design criteria based on alternative option input, and generate a patient-specific implant design that fits with one or more vertebral bodies.
Manufacturing workflow culminating in 3D-printing
A method of manufacturing a patient-specific implant that receives manufacturing data generated by the iterative virtual-model design process and manufactures the patient-specific implant using 3D-printing based on the received manufacturing data.
The inventive core is an iterative patient-specific implant design process that combines patient image analysis, a trained machine learning model, a virtual model for review and prediction, user-supplied design criteria, and alternative option input until a virtual acceptable outcome is predicted, followed by generation of a patient-specific implant design fitting one or more vertebral bodies and, in the manufacturing claim, 3D-printing based on received manufacturing data.
Stated Advantages
Documented Applications
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