A Review of the Application of Artificial Intelligence in Orthopedic Diseases
作者机构：Department of Electrical EngineeringGuizhou UniversityGuiyangChina
出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)
年 卷 期：2024年第78卷第2期
页 面：2617-2665页
核心收录：
学科分类：1002[医学-临床医学] 0805[工学-材料科学与工程（可授工学、理学学位）] 100214[医学-肿瘤学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 10[医学]
基 金：This work was supported in part by the National Natural Science Foundation of China under Grants 61861007 and 61640014 in part by theGuizhou Province Science and Technology Planning Project ZK303 in part by the Guizhou Province Science Technology Support Plan under Grants017,096 and264 in part by the Guizhou Education Department Innovation Group Project under Grant KY012 in part by the Talent Introduction Project of Guizhou University(2014)-08
主 题：Artificial intelligence orthopedics image detection deep learning machine learning diagnostic disease robotics
摘 要：In recent years,Artificial Intelligence(AI)has revolutionized people’s *** has long made breakthrough progress in the field of ***,the research on the application of AI in orthopedics is still in the exploratory *** paper first introduces the background of AI and orthopedic diseases,addresses the shortcomings of traditional methods in the detection of fractures and orthopedic diseases,draws out the advantages of deep learning and machine learning in image detection,and reviews the latest results of deep learning and machine learning applied to orthopedic image detection in recent years,describing the contributions,strengths and weaknesses,and the direction of the future improvements that can be made in each ***,the paper also introduces the difficulties of traditional orthopedic surgery and the roles played by AI in preoperative,intraoperative,and postoperative orthopedic surgery,scientifically discussing the advantages and prospects of AI in orthopedic ***,the article discusses the limitations of current research and technology in clinical applications,proposes solutions to the problems,and summarizes and outlines possible future research *** main objective of this review is to inform future research and development of AI in orthopedics.
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