Case Study

Precision in Periodontics with AI-Driven Periodontitis Identification

Harnessing the power of AI and computer vision to transform periodontal disease diagnosis and care.

AI-Driven Periodontitis Identification

Empowering a leading dental care provider specializing in periodontics with advanced AI technology to redefine diagnostics and eliminate inconsistencies through intuitive AI-driven periodontitis identification.

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Industry & Region: Healthcare, US
Tech Stack:  Scripting & Framework Tools: Python, Django API & UI; Computer Vision Tools: CV Image Processing, YoloV5 Object Detection.

Key Results

93%

Accurate Diagnoses

50%

Reduced Diagnostic Time

40%

Increase in Early Detection Rate

 

Client Overview

Our client is a renowned periodontics care provider in the US, committed to delivering cutting-edge dental care services. With a strong emphasis on patient health and wellness, the organization specializes in diagnosing, treating, and preventing periodontal diseases, which is one of the most prevalent dental conditions affecting adults. The client’s reputation stems from their team of highly skilled periodontists, state-of-the-art clinical infrastructure, and dedication towards precision care.

Business Challenge
One of the major challenges faced by our client in diagnosing and managing periodontal diseases were their traditional methods of assessing interdental bone levels, radiographic bone loss, and periodontal pocket depth (PPD). They relied heavily on manual interpretation by clinicians. This resulted in inconsistencies in diagnosing periodontal conditions, treatment inaccuracies, and delayed detection and interventions, thereby impacting patient outcomes as well as slowing down the overall workflow.
Solution Offered

Our expert team has developed a sophisticated AI-powered application that utilizes advanced computer vision algorithms to analyze periodontal diseases. The AI model is designed to accurately detect and interpret key clinical indicators, including interdental bone levels and radiographic bone loss.

Additionally, the AI model provides precise measurements of periodontal pocket depth (PPD), significantly enhancing diagnostic accuracy and enabling more effective treatment planning for a periodontal disease.

Value Delivered
  • Enhanced Diagnostic Accuracy: The computer vision solution minimizes human error and allows precise detection of interdental bone levels, radiographic bone loss, and periodontal PPD, resulting in 93% accurate diagnoses.
  • Early Intervention: The advanced AI model identifies subtle indicators of periodontal disease often missed in manual processes, facilitating timely interventions and improved patient outcomes. The solution has increased the early detection rate by up to 40%.
  • Streamlined Workflows: Automated analysis reduces diagnostic evaluation time by 50%, allowing clinicians to focus on patient care.
  • Data-driven Decisions: Data-driven insights support more informed treatment decisions, enhancing the overall standard of care.

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Precision in Periodontics with AI-Driven Periodontitis Identification

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