人工智能技术在颅缝早闭症诊疗中的应用进展OA
Recent progress of AI technology in diagnoses and treatment of craniosynostoses
颅缝早闭症是一类常见的先天性颅面畸形,儿童在发育过程中,某些颅缝过早骨化闭合,导致颅骨形态异常和脑部发育受限,严重时可引起神经发育障碍.传统治疗主要依赖影像学检查与临床经验,但随着人工智能(Artificial intelligence,AI)技术的兴起,近年来AI已逐渐应用到颅缝早闭症的诊断、手术规划、术中导航和术后康复等各个环节,推动了从诊断到康复的全流程数智化应用.
Craniosynostoses are a sort of congenital craniofacial malformations characterized by premature fusion of one or more cranial sutures during childhood development,leading to abnormal calvarial morphology and restricted intracranial growth.In severe cases,it may result in neurodevelopmental disorders.Traditionally,management has depended on imaging assessment and clinician expertise.With the rise of artificial intelligence(AI),however,AI has gradually been applied to various aspects of diagnosis,preoperative planning,intraoperative navigation,and postoperative rehabilitation of craniosynostosis,thus promoting a fully digital,end-to-end workflow from diagnosis to recovery.
陈倩;杨斌
100144 北京市 中国医学科学院北京协和医学院整形外科医院100144 北京市 中国医学科学院北京协和医学院整形外科医院
医药卫生
人工智能深度学习颅缝早闭颅面畸形
Artificial intelligenceDeep learningCraniosynostosesCraniofacial deformities
《组织工程与重建外科杂志》 2026 (1)
57-61,5
国家重大疾病多学科合作暨临床重点专科建设项目(NO.21003)北京市科技计划首都特色临床应用研究重点项目(Z181100001718187)北京市自然科学基金项目(7222154)中国医学科学院医学与健康科技创新工程项目(2021-12M-1-068)中国医学科学院整形外科医院科研项目(NO.YS202011)中国医学科学院整形外科医院院所基金项目(YS2024CG028).
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