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计算机视觉在医学图像中的应用及其对罕见肌肉骨骼疾病的影响 被引量:1

Computer Vision in Medical Imaging and its Impact on the Rare Musculoskeletal Diseases
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摘要 全球有超过6000种罕见病,影响着超过3亿人群。早期的准确诊断一直是罕见病临床实践的重要目标。以人工智能算法为代表的计算机视觉技术,为医学图像分析提供了强大支撑,在罕见病诊疗与康复中发挥了重要作用。该技术还可以从医学图像中提取出与疾病相关的模式,然而,却受限于医学问题自身的复杂性。本文旨在总结计算机视觉在罕见肌肉骨骼疾病诊疗评估和康复管理中应用的新趋势。 There are over 6000 rare diseases in the world,affecting more than 300 million people.Early and precise diagnosis of rare diseases has always been the goal in clinical medicine.Emerging computer vision technology now greatly enhance medicine and healthcare and shows the potential in assisting the diagnosis and treatment for rare diseases.The technology can be a useful tool for extracting disease-relevant patterns from medical imaging.However,the effectiveness of its application depends on the complexity of the medical cases.In this paper,we summarize the challenges and emerging solution for the application of computer vision in diagnosis,rehabilitation as well as management of rare musculoskeletal diseases.
作者 张雪怡 孙博 陈癸霖 胡歌 李晴 邱贵兴 ZHANG Xueyi;SUN Bo;CHEN Guilin;HU Ge;LI Qing;QIU Guixing(Institute of Clinical Medicine,Peking Union Medical College Hospital,Chinese Academy of Medical Sciences&Peking Union Medical College,Beijing 100730,China;Department of General Surgery,Peking Union Medical College Hospital,Chinese Academy of Medical Sciences&Peking Union Medical College,Beijing 100730,China;Department of Orthopaedic Surgery,Beijing Key Laboratory for Genetic Research of Skeletal Deformity,Key Laboratory of Big Data for Spinal Deformities,Peking Union Medical College Hospital,Chinese Academy of Medical Sciences&Peking Union Medical College,Beijing 100730,China;Department of Radiology,Chinese Academy of Medical Sciences&Peking Union Medical College,Beijing 100730,China;State Key Laboratory of Complex Severe and Rare Diseases,Peking Union Medical College Hospital,Chinese Academy of Medical Sciences&Peking Union Medical College,Beijing 100730,China)
出处 《罕见病研究》 2023年第4期589-595,共7页 Journal of Rare Diseases
基金 国家自然科学基金(82202824)。
关键词 计算机视觉 罕见病 医学图像 数字生物标志物 数字健康 computer vision rare diseases medical images digital biomarkers digital health
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