Artificial Intelligence to Diagnose Tibial Plateau Fractures:An Intelligent Assistant for Orthopedic Physicians

• 作者: Peng-ran LIU Jia-yao ZHANG Ming-di XUE Yu-yu DUAN Jia-lang HU Song-xiang LIU Yi XIE Hong-lin WANG Jun-wen WANG Tong-tong HUO Zhe-wei YE
• 来源期刊: 当代医学科学（英文）
• 年，卷（期）: 2021,（6）
• 所属期刊栏目: ARTIFICIAL INTELLIGENCE IN MEDICINE COLUMN
• 页码范围: 1158-1164
• 页数: 7页
• 语种: 英文
• DOI: 10.1007/s11596-021-2501-4

摘要

Objective:To explore a new artificial intelligence(AI)-aided method to assist the clinical diagnosis of tibial plateau fractures(TPFs)and further measure its validity and feasibility.Methods:A total of 542 X-rays of TPFs were collected as a reference database.An AI algorithm(RetinaNet)was trained to analyze and detect TPF on the X-rays.The ability of the AI algorithm was determined by indexes such as detection accuracy and time taken for analysis.The algorithm performance was also compared with orthopedic physicians.Results:The AI algorithm showed a detection accuracy of 0.91 for the identification of TPF,which was similar to the performance of orthopedic physicians(0.92±0.03).The average time spent for analysis of the AI was 0.56 s,which was 16 times faster than human performance(8.44±3.26 s).Conclusion:The AI algorithm is a valid and efficient method for the clinical diagnosis of TPF.It can be a useful assistant for orthopedic physicians,which largely promotes clinical workflow and further guarantees the health and security of patients.