Case Study

AI-driven Dental Scan Analysis for Advanced Anomaly Detection

Empowering a dental care provider with Computer Vision technology and a predictive model for improved diagnostic precision

A renowned dental care provider in the US leverages an AI-driven dental analysis solution to enhance diagnostic precision in dental scanning, transforming patient outcomes.

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Industry & Region: Healthcare, US

Tech Stack: 

AI Frameworks: TensorFlow, Keras, PyTorch; Computer Vision Tools: Faster R-CNN, StyleGAN Labelling, OpenCV, YOLO; Scripting & Other Tools: Python, NumPy; Annotation Tools, Data Augmentation.

Key Results

98%

Detection success rate

92%

Detection accuracy

70%

Reduced manual workloads

 

Client Overview

Our client is a leading dental healthcare provider in the US, focused on delivering precise diagnostics and personalized treatment plans to patients through the adoption of advanced AI technologies that transform diagnostic processes and operational workflows.

Business Challenge

Early classification of dental scans to identify potential tumors was one of the major challenges the dental health provider was experiencing. This was important for timely escalation of cases that required early intervention.

Another challenge that increased their workload was the prolonged diagnostic processes that resulted in delayed treatment and poor patient outcomes. This also led to inefficiencies in the overall diagnostic processes, burnout among the staff, and impacted patient satisfaction.

Solution Offered

KANINI’s expert team developed a comprehensive AI-powered solution tailored to solve these dental diagnostic challenges. The AI model leverages multiple algorithms to detect cavities in dental scans with high accuracy, and efficiently classifies scans that indicate the presence of a tumor through the following features:

  • Advanced Object Recognition Model: The solution is designed to identify and localize medical anomalies such as cavities and tumors. It highlights these anomalies within dental scans using bounding boxes for precise visualization.
  • Integrated Prediction Model: The object recognition system is paired with a predictive model that determines the likelihood of the presence of a tumor or cavity, offering enhanced diagnostic accuracy.
  • Transparent and Customizable Framework: The solution is built with flexibility in mind, allowing easy customization to detect and analyze any objects of interest in the diagnostic process.
  • Scalability for Video Analytics: Beyond static images, the system can be extended to process video data, enabling real-time analysis for advanced diagnostic use cases.
  • Confidence Scoring: Each prediction is accompanied by a confidence score, providing practitioners with insights into the reliability of the model’s results and empowering informed decision-making. It perfectly combines the power of AI and human judgement.
Value Delivered
  • Decreased Manual Workload: Automating anomaly detection streamlined the analysis process, reducing the manual workload of dental professionals by 70%.
  • Precise Outcomes: The AI model ensured precise identification and localization of cavities and tumors, pinpointing a cavity or tumor’s exact position, and helping in treatment planning or surgical intervention.
  • Exceptional Accuracy: Eliminating manual processes enhanced diagnostic accuracy by 92% and resulted in an anomaly detection success rate of 98%.
  • Timely Intervention: Enhanced operational efficiency allowed the dental professionals to focus more on patient care and provide timely treatment for improved patient outcomes.

Explore the endless possibilities of transforming dental care using cutting-edge AI solutions that deliver precision, streamline workflows, and improve patient outcomes.

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AI-driven Dental Scan Analysis for Advanced Anomaly Detection

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