AI Surgical Planning System for Implant Sizing
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Solution Overview
Problem
Current preoperative planning methods for surgical cuts, implant orientation, and sizing in orthopedic surgeries rely heavily on manual calculations and user input, which can be time-consuming and prone to errors, and do not effectively utilize patient-specific data for personalized implant selection and surgical planning.
Innovation Solution
A computerized surgical planning system that uses artificial intelligence to generate preoperative plans based on patient data and images, including x-ray or CT scans, to determine the optimal implant size, orientation, and surgical cuts, reducing the need for manual input and enabling a feedback loop for model improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual calculations and user input are used for preoperative planning, then the surgeon can control the planning process, but the process becomes time-consuming and prone to errors
Solution Approach 1:
The patent replaces manual mechanical calculations and user input with an artificial intelligence model that automatically processes patient data, images, and medical instrument parameters to generate surgical plans, thereby eliminating time-consuming manual operations while maintaining or improving accuracy
Solution Approach 2:
The system enables self-service by allowing the AI model to autonomously analyze patient-specific data, determine optimal implant sizes and orientations, and generate surgical plans without requiring continuous manual intervention, thus reducing both time and potential for human error
2Adaptability or versatility
If general surgical planning methods are used, then the process is simple, but patient-specific data is not effectively utilized for personalized implant selection
Solution Approach 1:
The patent applies local quality by tailoring the surgical plan to each patient's specific anatomy and characteristics. The AI model analyzes patient-specific data including images and measurements to determine the optimal implant size, orientation, and type for that particular patient, rather than using a one-size-fits-all approach
Solution Approach 2:
The system performs preliminary analysis of patient data, images, and medical instrument parameters before surgery to pre-determine the optimal implant selection and surgical approach. This advance planning allows for personalized implant selection while streamlining the actual surgical process
3Measurement precision
If traditional preoperative templating is used with radiographic images, then the method is well-established, but it requires manual scaling and measurement which increases error risk
Solution Approach 1:
The patent replaces manual scaling and measurement operations with automated image processing and analysis performed by the AI model. The system automatically extracts measurements from radiographic images and patient data, eliminating manual intervention and its associated errors while improving both precision and ease of operation
Solution Approach 2:
The system creates accurate digital copies and representations of patient anatomy from radiographic images and other medical data. These digital models are then analyzed by the AI to determine optimal implant sizing, replacing the need for manual physical measurements and scaling operations
Data Source
AI summary
A system and method for preoperative surgical planning includes an electronic device with an interface for a user to input preoperative data, which may include an image (for example, a body part) and/or patient information (for example, medical information) and a server receiving and storing the preoperative data in a data storage. An application includes an implementation of an artificial intelligence model (for example, a neural network), which is executed using the preoperative data as input to generate a preoperative plan for a surgical procedure. The preoperative plan can include a list of medical instruments for use during the surgical procedure and/or a list of surgical steps to perform the surgical procedure Information about the surgical procedure (operative data) is captured during and/or after the surgical procedure. The operative data is stored in the data storage. The operative data is used to develop insights for the artificial intelligence model (for example adjusting parameters and/or weights of the artificial intelligence model).


