AI driven automated spinal fracture decision support platform and National Spinal Fracture Register (GENERE) development

The project creates an AI-supported, automated decision support system aiming to aid the fast and effective diagnosis of spine fracture throughout Hungary. The consortia realizing the project develops a complex data collection system that creates a database of annotated spine X-ray, MRI, and CT images ready to be used to train AI. The newly created AI platform allows future development of algorithms utilizing the ever-growing set of data to improve diagnostics. The whole system shall create a unique service allowing for individual hospitals to upload images. The central AI algorithm analyses all images and provides feedback on the severity and complexity of the cases. This „real-time” triage will sort cases and provide valuable support for quicker diagnosis and better treatment. By increasing the participating institutes’ number and the uploaded images the system will improve its own sensitivity and accuracy. We expect to improve the diagnosis of spine fracture, treatment of patients, and reduce rehabilitation time while simultaneously decreasing doctors’ workload.