Development and validation of an artificial intelligence model to accurately predict spinopelvic parameters

CONCLUSIONS: SpinePose accurately predicted spinopelvic parameters with excellent reliability comparable to that of fellowship-trained spine surgeons and neuroradiologists. Utilization of predictive AI tools in spinal imaging can substantially aid in patient selection and surgical planning.PMID:38552236 | DOI:10.3171/2024.1.SPINE231252

Source: Journal of Neurosurgery.Spine - March 29, 2024 Category: Neurosurgery Authors: Edward S Harake Joseph R Linzey Cheng Jiang Rushikesh S Joshi Mark M Zaki Jaes C Jones Siri Sahib S Khalsa John H Lee Zachary Wilseck Jacob R Joseph Todd C Hollon Paul Park Source Type: research