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

该项目将确定人工智能（AI）技术的作用，以改善腕关节骨折后临床和长期患者报告结果的预测。将基于现有常规收集的登记数据的预测模型与基于通过X射线图像、放射学报告和手术报告的AI分析增强的登记数据的模型进行比较。人工智能分析将对图像和文本数据进行推理，更好地复制人类的学习方式。

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.