Artificial intelligence assisted analysis and classification of pelvic ring fractures
While fractures of the pelvic ring—the sturdy ring of bones located at the base of the spine—are relatively uncommon, diagnosis and classification of these painful injuries are fundamental to helping patients avoid immobility, complications, and even death. Thanks to AO's innovation funding, Universitätsklinikum Ulm (UKU) senior physician Konrad Schütze, MD, PhD, senior radiologist Daniel Vogele and radiological software developer Mint Medical (a Brainlab company) are harnessing artificial intelligence (AI) as a tool that could revolutionize diagnosis and classification of pelvic ring fractures.
The developed technology will detect fractures in a patient’s computed tomography (CT) scan and use AI to classify the fracture: The surgeon would upload CT images into the cloud and analyze them with help from the software; the surgeon would then mark all parts of the pelvic ring fracture. In a second step, the AI would help identify all parts of the fracture and independently classify it.
“The surgeon would then only need to verify correct marking and could use the structured report for treatment planning,” Schütze said. Based on the AI provided AO classification the surgeon may directly go to AO Surgery Reference to receive best in class advice how to plan the respective surgery.
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