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

使用人工智能补充模型进行循证治疗 (PRAISE) 研究，根据临床登记数据预测骨折结果

• 批准号: nhmrc : 2003537
• 金额: $ 63.62万
• 依托单位国家: 澳大利亚
• 项目类别: Ideas Grants
• 财政年份: 2021
• 资助国家: 澳大利亚
• 起止时间: 2021-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/predicting-fracture-outcomes-praise-study/1780152
• 关键词: Predicting; fracture; outcomes; clinical; Registry

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.

该项目将确立人工智能（AI）技术的作用，以改善腕部骨折后临床和长期患者报告结果的预测。基于现有常规收集的注册表数据的预测模型将与基于注册表数据的模型进行比较，这些模型通过对x射线图像、放射学报告和手术报告的人工智能分析而增强。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。