Predicting fracture outcomes from clinical Registry data using Artificial Intelligence Supplemented models for Evidence-informed treatment (PRAISE) study

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This project will establish the role of artificial intelligence (AI) techniques to improve the prediction of clinical and longer-term patient reported outcomes following wrist fracture. Prediction models based on existing, routinely collected registry data with will be compared with models based on registry data enhanced by AI analysis of X-ray images, radiology reports and surgical reports. The AI analysis will reason on both image and text data, better replicating how humans learn.