AI Surgical Guidance System for Implant Placement Precision

Solution Overview

Problem

Surgeons face challenges in accurately placing implants and reducing fractures during surgeries due to variability in patient anatomy and the need for real-time decision-making, often leading to sub-optimal outcomes and potential surgical failures, as existing methods lack effective intraoperative guidance and automated intelligence support.

Innovation Solution

An artificial intelligence intra-operative surgical guidance system that analyzes intraoperative images, calculates surgical decision risks, and provides autonomous guidance through a graphical user interface, using machine learning and deep learning algorithms to detect anatomical landmarks, register images, and display composite images for optimal implant placement and fracture reduction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If surgeons rely on traditional intraoperative fluoroscopic guidance, then basic implant placement can be performed, but positioning precision is insufficient due to pelvis position variability and lack of automated guidance

Engineering Contradiction:

Core Design Contradiction:

Measurement precisionVSReliability

Solution Approach 1:

The patent replaces traditional mechanical fluoroscopic guidance with an artificial intelligence-based computational system that uses machine learning models to analyze intraoperative images and provide automated surgical guidance, thereby improving measurement precision and outcome reliability

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The AI system acts as an intermediary between the surgeon and the surgical field, providing real-time image analysis and guidance recommendations that bridge the gap between traditional fluoroscopy and precise implant placement

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If surgeons make real-time decisions without automated intelligence support, then surgical flexibility is maintained, but decision accuracy decreases due to multiple simultaneous decisions and lack of objective risk assessment

Engineering Contradiction:

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system provides real-time feedback to surgeons by analyzing intraoperative images and calculating surgical decision risks, enabling more accurate decision-making through objective data-driven insights while managing complexity through automated analysis

Inventive Principle:

Principle #23Feedback

3Reliability

If traditional surgical methods are used without intraoperative intelligence guidance, then surgical workflow remains simple, but detection of hazards and risks is insufficient leading to postoperative complications

Engineering Contradiction:

Core Design Contradiction:

ReliabilityVSDifficulty of detecting and measuring

Solution Approach 1:

The AI system performs preliminary analysis of surgical images and calculates risks before critical decisions are made, allowing surgeons to anticipate and prevent potential complications rather than detecting them postoperatively

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20240206990A1Artificial Intelligence Intra-Operative Surgical Guidance System and Method of Use

Publication Date: 2024.06.27

AI summary

The inventive subject matter is directed to an artificial intelligence intra-operative surgical guidance system and method of use. The artificial intelligence intra-operative surgical guidance system is made of a computer executing one or more automated artificial intelligence models trained on data layer datasets collections to calculate surgical decision risks and provide autonomously executing intra-operative surgical guidance; and a display configured to provide visual guidance to a user.