The Radiological Society of North America (RSNA) has launched the 2024 RSNA Lumbar Spine Degenerative Classification AI Challenge. RSNA organizes AI challenges to spur the creation of AI tools for radiology and improve patient care.
The challenge, developed in collaboration with the American Society of Neuroradiology (ASNR) and the American Society of Spine Radiology (ASSR), invites researchers to develop models that can detect and classify degenerative spine conditions using lumbar spine MR images. The carefully curated and annotated dataset includes images from eight sites across five continents.
Most people experience low back pain at some point in their lives, and its prevalence increases with age. Pain and restricted mobility are often symptoms of spondylosis. Spondylosis encompasses a set of degenerative spine conditions, including degeneration of vertebral discs and narrowing of the spinal canal (spinal stenosis), that exert pressure on nerves in the low back.
MRI provides a detailed view of the lumbar spine vertebrae, discs and nerves, enabling radiologists to assess the presence and severity of these conditions. Proper diagnosis and treatment can improve the overall health and quality of life for patients.
AI provides tools that enhance the efficiency and accuracy of MRI. To build these tools, AI researchers need access to substantial volumes of imaging data annotated by expert radiologists. Data challenges such as the RSNA Lumbar Spine Degenerative Classification AI Challenge engage the radiology community to develop such datasets, which provide the standard of truth in training AI systems to perform tasks relevant to diagnostic imaging.
In a challenge, researchers compete on how well their AI models perform specific tasks such as detection, localization and categorization of abnormal features according to defined performance measures. Each AI challenge explores and demonstrates the ways AI can benefit radiology and improve patient care.
The 2024 RSNA Lumbar Spine Degenerative Classification AI Challenge is being conducted on a platform provided by Kaggle, Inc., and is open to all researchers. The top nine performing competitors will share in a total of $50,000 in prize money.
Previous RSNA AI challenges have drawn over 1,000 teams composed of expert AI researchers from around the world. The highest performing models are made available under open licenses to encourage additional research.
The competition will run through September 2024. Winners will be announced in November and winning teams will be recognized in the AI Theater during RSNA’s 110th Scientific Assembly and Annual Meeting (RSNA 2024), held Dec. 1 – 5 at McCormick Place in Chicago.
For more information on RSNA AI challenges, visit rsna.org/rsnai/AI-image-challenge or contact informatics@rsna.org.
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