COLLEGE
COLLEGE
Description
Researchers at the Indian Institute of Technology (IIT) Guwahati have created Osteo HRNet, an AI-based framework. Through the automated interpretation of X-ray images, this approach seeks to revolutionize the assessment of Knee Osteoarthritis (OA) severity.
Addressing A Prevalent Condition
Knee osteoarthritis affects a considerable section of the Indian population, with a prevalence incidence of 28%. The condition presents difficulties because there is no known cure, with the exception of total joint replacement in later stages. Early diagnosis is critical for effective pain management and remedial treatments.
Overcoming Traditional Approaches' Limitations
While MRI and CT scans provide a 3D image of knee joints for reliable diagnosis, their restricted availability and high cost prevent them from being widely used. X-ray imaging, on the other hand, appears to be a more cost-effective choice for regular diagnosis.
Introducing The Osteo HRNet Framework
The Osteo HRNet framework developed by IIT Guwahati researchers employs deep learning techniques to determine the severity of Knee OA. It uses the Kellgren and Lawrence (KL) grading system, which is a widely established benchmark for categorizing disease severity. The framework uses the High-Resolution Network (HRNet) to record multi-scale aspects of knee X-rays, improving analysis accuracy.
Improving Diagnosis And Treatment
The Osteo HRNet platform is poised to make significant advances in the diagnosis of Knee OA. Medical practitioners can make better informed decisions remotely by automatically measuring the severity level of the illness, resulting in more accurate diagnosis and individualized treatment strategies. The framework's capacity to highlight medically critical locations boosts its utility even further.
Prospects For The Future
The researchers are devoted to further improving the AI-based model to accept low-cost radiography modalities, such as low-resolution photographs or smartphone photos. This would allow for the model's efficient implementation in resource-constrained contexts, allowing medical practitioners to acquire initial and correct diagnoses. This effort has the potential to solve the scarcity of qualified workers, particularly in rural India.
For more Updates and Information - Visit Notopedia's Bulletin Board
For Latest Sarkari Jobs - Visit Notopedia's Sarkari Jobs Section
For access to more than 20,000 Colleges - Visit Notopedia's College Section
For School Studies and Exams Preparation across 14 Boards - Visit Notopedia's School Section
For Comprehensive Preparation of Sarkari Job Exams - Visit Notopedia's Sarkari Exams Section
