Al-Driven WPF for Dental X-Ray Analysis

Dentist Al WPF is an advanced Al- powered dental X-ray analysis system designed to assist dental professionals
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Al-Powered Dental Diagnostics

Dentist Al WPF is an advanced Al-powered dental X-ray analysis system designed to assist dental professionals in detecting and visualizing oral health issues more efficiently. The solution enables users to upload X-ray images, analyze them for abnormalities, and highlight findings interactively. By integrating Al-driven analysis with a user-friendly WPF-based desktop interface, this system improves accuracy, speeds up diagnosis, and enhances visualization for better decision-making.

Webapp Creation
Advanced Visualization Techniques
Data Analytics
Workflow modernization

Client Profile

Better Diagnostics is an Al-driven healthcare technology company specializing in intelligent automation for dental diagnostics. With over 15 years of experience, their leadership team is committed to leveraging Al to enhance clinical workflows, improve accuracy, and make high-quality dental assessments more accessible worldwide.

Request background

Dentists rely heavily on X-ray imaging to diagnose oral health issues, but manual analysis can be time-consuming and prone to human error. The client required a WPF-based desktop application while offering improved image handling and visualization features. The goal was to ensure an intuitive, efficient, and Al-powered diagnostic process that enhanced the accuracy of dental assessments. The solution enables users to upload X-ray images, analyze them for abnormalities, and highlight findings interactively.

Challenges

Before implementing Dentist AI WPF, the client faced several challenges in their existing dental X-ray analysis practices:

Manual X-ray Analysis

Dentists had to manually examine X-ray images, making it a time-consuming process prone to human error. Identifying and marking findings required significant effort, leading to inconsistencies in diagnosis.

Inconsistent Visualization

The existing system lacked a standardized way to highlight and categorize findings. Important dental issues could be overlooked due to unclear or non-uniform visual indicators.

Ul and Workflow Inefficiencies

The previous web-based solution (built on Angular) did not fully meet usability expectations in a desktop environment. Navigating through multiple images and interacting with findings was not intuitive.

Multi-Image Handling Limitations

The earlier system struggled with managing multiple X-ray images efficiently. Dentists needed a seamless way to upload, compare, and analyze several images without disrupting workflow.

GOALS 

WPF-based UI

Develop a WPF-based UI that closely replicates the Angular web interface

Accurate Alignment


Ensure that drawings align accurately with X-ray images.

Comparison Feature


Implement a comparison popup to differentiate between original and processed images.

Enhanced Visibility


Enhance finding visibility through color-coded text and highlighting.

Multiple Images


Enable multiple image uploads and seamless drawing generation.

Outcomes 

The Impact of the E-Learning Platform Modernization
Accurate Drawing Placement
0 %
Dynamic scaling ensures drawings align correctly with X-ray images, enhancing diagnostic precision.
UI Enhancement Success
0 %
The WPF-based Ul closely mirrors the Angular web application, ensuring a seamless transition.
Improved Readability and Visualization
0 %
Color-coded text and highlighting make findings more visible and actionable.
Multiple-Image Support
0 %
Users can now upload and analyze multiple images simultaneously, improving workflow efficiency.

Client Feedback 

Dentist AI WPF has transformed the way we analyze dental X-rays. The Al-driven system significantly enhances diagnostic accuracy, automates findings detection, and improves visualization. Thanks to Autviz Solutions, this has not only reduced errors but also optimized efficiency in dental assessments.

Solution

To ensure seamless execution, our team began with an in-depth study of the existing Angular-based web interface, analyzing its workflow and identifying key pain points. A structured development approach was adopted, focusing on:
Integrated Solution: .NET Core, Web API, MVC Core, Kendo UI, React Native, SSMS, Redis, Azure

Dynamic Scaling Mechanisms

To maintain correct drawing alignment on images.

Multi-Image Handling

Capabilities to allow users to upload, analyze, and compare different alignment on images.

UI Enhancements

Improved visualization, ensuring findings were clearly highlighted and easy to interpret.

Performance Optimization

For smooth navigation and responsiveness.

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