医学 AI

Retrieving Patient-Specific Radiomic Feature Sets for Transparent Knee MRI Assessment

为透明膝关节MRI评估检索患者特异性放射组学特征集

Yaxi Chen, Simin Ni, Jingjing Zhang, Shaheer U. Saeed, Yipei Wang, Aleksandra Ivanova, Rikin Hargunani, Chaozong Liu, Jie Huang, Yipeng Hu

机构 * Mechanical Engineering Department, University College London, London, UK Hawkes Institute, University College London, London, UK Institute of Orthopaedic \& Musculoskeletal Science, University College London, Royal National Orthopaedic Hospital, Stanmore, UK School of Engineering ； Materials Science, Queen Mary University of London, London, UK Centre for Bioengineering, Queen Mary University of London, London, UK Department of Medical Physics ； Biomedical Engineering, University College London, London, UK Royal National Orthopaedic Hospital, Stanmore, UK 纠错

专题命中 临床大模型 ：MRI(title)；diagnosis(abstract)；分类 cs.CV

AI总结 本文提出了一种患者特异性特征集选择框架，通过两阶段检索策略提升膝关节MRI评估的透明性和诊断性能。