Over 1.5 million spine fractures occur annually in the United States alone resulting in over 17,730 spinal cord injuries annually. The most common site of spine fracture is the cervical spine. There has been a rise in the incidence of spinal fractures in the elderly and in this population, fractures can be more difficult to detect on imaging due to superimposed degenerative disease and osteoporosis. Imaging diagnosis of adult spine fractures is now almost exclusively performed with computed tomography (CT) instead of radiographs (x-rays). Quickly detecting and determining the location of any vertebral fractures is essential to prevent neurologic deterioration and paralysis after trauma.
RSNA has teamed with the American Society of Neuroradiology (ASNR) and the American Society of Spine Radiology (ASSR) to conduct an AI challenge competition exploring whether artificial intelligence can be used to aid in the detection and localization of cervical spine fractures.
To create the ground truth dataset, the challenge planning task force collected imaging data sourced from twelve sites on six continents, including approximately 3,000 CT studies. Spine radiology specialists from the ASNR and ASSR provided expert image level annotations these studies to indicate the presence, vertebral level and location of any cervical spine fractures.
In this challenge competition, you will try to develop machine learning models that match the radiologists’ performance in detecting and localizing fractures to the seven vertebrae that comprise the cervical spine. Winners will be recognized at an event during the RSNA 2022 annual meeting.
Awards:-
- 1st Place – $6,000
- 2nd Place – $5,000
- 3rd Place – $4,000
- 4th – 8th Places – $3,000 each
Because this competition is being hosted in coordination with the Radiological Society of North America (RSNA®) Annual Meeting, winners will be invited and strongly encouraged to attend the conference with waived fees, contingent on review of solution and fulfillment of winners’ obligations.
Deadline:- 20-10-2022
