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12/07/23 06:38 AM IST

AI model for predicting knee osteoarthritis severity from X-ray images

In News
  • A team of researchers from the Indian Institute of Technology (IIT) Guwahati has developed a Deep Learning (DL)-based framework called OsteoHRNet.
OsteoHRNET  features
  • The Osteo HRNet framework developed by the researchers at IIT Guwahati utilizes deep learning techniques to assess the severity of Knee OA.
  • It incorporates the Kellgren and Lawrence (KL) grading scale, a widely accepted standard for classifying the disease severity.
  • The framework harnesses the power of the High-Resolution Network (HRNet) to capture multi-scale features of knee X-rays, enhancing the accuracy of the analysis. 
  • By automatically assessing the severity level of the disease, medical practitioners can make more informed decisions remotely, leading to more accurate diagnoses and tailored treatment plans.
  • The framework’s ability to pinpoint the medically crucial areas further enhances its utility. 
  • The AI-based model employs an efficient Deep Convolutional Neural Network (CNN), specifically an algorithm designed for image recognition.
  • This model predicts the severity of knee OA based on the Kellgren and Lawrence (KL) grading scale, which is approved by the World Health Organization (WHO).
  • The scale ranges from grade zero (indicating low severity) to grade four (indicating high severity).
Source- Financial Express

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