AI Dental Condition Detection and Browser-Based Image Enhancement
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Solution Overview
Problem
Existing dental imaging technologies face challenges in providing seamless integration with HTML web browsers across various operating systems, requiring proprietary plugins and network infrastructure, leading to high costs and inconsistent readings of dental radiographs, which can result in inaccurate diagnoses and increased health risks.
Innovation Solution
A system utilizing machine learning algorithms to analyze dental radiographs directly through HTML web browsers without the need for proprietary plugins, enabling consistent and accurate detection of dental conditions, allowing access from any device with a web browser and automatic setup.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If proprietary plugins and network infrastructure are used for dental imaging integration, then seamless integration with HTML web browsers is achieved, but device complexity and cost increase
Solution Approach 1:
The patent extracts the core imaging functionality from complex proprietary plugins and network infrastructure, implementing it directly through standard HTML web browser capabilities. This removes the need for additional software layers while maintaining browser-based access to dental imaging tools.
Solution Approach 2:
The invention makes the dental imaging system universally accessible through any HTML web browser without requiring device-specific plugins or proprietary infrastructure. The system functions across multiple devices and operating systems using only standard web technologies, eliminating the need for separate integration solutions for each platform.
2Reliability
If proprietary plugins are required for browser integration, then dental imaging functionality is maintained, but ease of operation deteriorates
Solution Approach 1:
The system utilizes the inherent capabilities of HTML web browsers to perform dental imaging operations without requiring users to install or configure additional plugins. The browser itself provides the necessary functionality, making the system immediately accessible and easy to operate upon opening any modern web browser.
3Adaptability or versatility
If multiple separate terminals with full digital imaging packages are deployed, then imaging functionality is provided at each location, but cost increases
Solution Approach 1:
The patent consolidates multiple separate digital imaging packages into a single web-based system that can be accessed from any location through a browser. Instead of deploying full imaging software at each terminal, the system merges functionality into a centralized web application that reduces overall software resource requirements while maintaining location accessibility.
Data Source
AI summary
A method for automatedly displaying and enhancing AI detected dental conditions which includes the steps of sending one or more images of dental information which is a 2d or 3d image or images containing dental anatomy to a convolution neural network-based machine learning software which has been trained to identify specific dental conditions or features, enacting of one or more machine learning convolution neural networks to detect a specific dental condition from a set of dental features or conditions, displaying one or more images with the detected dental conditions annotated graphically upon the image and in a location annotating the detected dental condition/feature, exposing in the user interface the ability for a user to select one of the possible many AI detections that are detected and annotated graphically upon the image, in response to user input, enacting an algorithm for the selected one of the possible many AI detections whereby said algorithm automates creation of multiple enhanced images using various combined proprietary image processing algorithms, applying various combinations of image processing algorithms to at a minimum the portion of the image which is defined via a region of interest and where the region of interest contains substantially all the features or dental conditions detected for the selected one of possible many AI detections selected within the image or images.