Use of natural language processing techniques to predict patient selection for total hip and knee arthroplasty from radiology reports.

The use of routinely available preoperative radiology reports provides promising potential to help screen suitable candidates for THA, but not for TKA. The external validation results demonstrate the importance of further model testing and training when confronted with new clinical cohorts.