AI Dental Guide System for Nerve Region Identification

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Solution Overview

Problem

Current dental treatment methods, such as implant and nerve treatments, face challenges in accurately identifying nerve regions and planning treatments due to the complexity of individual oral structures and the difficulty in determining the neural canal without causing unnecessary tooth removal.

Innovation Solution

A method and system utilizing machine learning models associated with position codes for teeth to generate guide data for dental treatments. This involves receiving dental images and position codes, identifying nerve regions, and outputting guide data for implant and nerve treatments, including prep guides and neural canal coordinates.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a doctor manually analyzes CT images or uses a dental microscope to determine the shape of the tooth and inner neural canal, then the treatment can be performed with simple equipment, but it is difficult to accurately identify the neural canal and may lead to excessive preparation and unnecessary tooth removal

Engineering Contradiction:

Improveaccuracy of neural canal identificationVSAvoidcomplexity of treatment planning system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces an artificial intelligence model as an intermediary between the dental image data and the treatment decision. The AI model processes the dental image to automatically identify the neural canal and provide treatment guidance, acting as a mediator that translates complex image data into actionable treatment information without requiring the doctor to manually analyze every detail

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces the manual mechanical analysis method (doctor visually examining CT images or using a dental microscope) with an automated AI-based image processing system. This substitution eliminates the need for time-consuming manual analysis while improving the accuracy of neural canal identification through algorithmic pattern recognition

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Ease of operation

If excessive preparation is performed to find the neural canal, then the neural canal can be accessed, but unnecessary tooth removal occurs causing secondary damage to the tooth

Engineering Contradiction:

Improveease of accessing neural canalVSAvoiddamage to tooth structure

Core Design Contradiction:

Ease of operationVSObject-affected harmful factors

Solution Approach 1:

The patent performs preliminary identification of the neural canal's exact location, shape, and depth before any preparation work begins. The AI model analyzes the dental image in advance to map out the neural canal's precise trajectory, allowing the doctor to plan the preparation path beforehand and avoid unnecessary removal of healthy tooth structure during the procedure

Inventive Principle:

Principle #10Preliminary action

3Loss of time

If manual analysis methods are used to determine tooth shape and neural canal, then the equipment required is simple, but the time required for treatment planning increases

Engineering Contradiction:

Improvetime for treatment planningVSAvoidautomation of treatment planning

Core Design Contradiction:

Loss of timeVSExtent of automation

Solution Approach 1:

The patent replaces the time-consuming manual analysis process with an automated AI image processing system that can rapidly analyze dental images and generate treatment plans. The automated system processes the image data through neural networks and algorithms to identify key anatomical features and provide treatment guidance much faster than manual examination

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The AI model performs self-learning and automatic analysis of dental images without requiring constant human intervention. The system independently processes the image data, identifies the neural canal characteristics, and generates treatment recommendations, freeing the doctor from time-consuming manual analysis while maintaining high accuracy

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20250046422A1Method and system for generating guide for dental treatment

Publication Date: 2025.02.06 KIM JEONG LAN

AI summary

A method for generating a guide for dental treatment is executed by at least one processor and includes receiving, from a user terminal, a position code for a tooth of a plurality of teeth assigned different position codes and a dental image including the tooth, identifying a nerve region of the tooth in the received dental image, in which the nerve region of the tooth includes the tooth and a nerve tissue around the tooth, and outputting guide data for the tooth corresponding to the nerve region based on the position code and the identified nerve region.