《口腔颌面外科杂志》 ›› 2022, Vol. 32 ›› Issue (2): 125-128. doi: 10.3969/j.issn.1005-4979.2022.02.010

• 综述 • 上一篇    下一篇

人工智能技术在口腔颌面部X线及计算机断层扫描影像图像处理中的应用

毛映(), 赵绿扬, 龙洁()   

  1. 口腔疾病研究国家重点实验室,国家口腔疾病临床医学研究中心,四川大学华西口腔医院创伤整形外科,四川 成都 610041
  • 收稿日期:2021-07-07 修回日期:2021-10-05 出版日期:2022-04-28 发布日期:2022-06-29
  • 通讯作者: 龙洁,教授. E-mail:
  • 作者简介:

    毛映(1981—),女,四川人,学士,助理研究员. E-mail:

  • 基金资助:
    科技部国家重点研发计划(2016YFC1101404); 四川省科技计划重点研发项目(2017SZ0032); 四川省科技计划重点研发项目(2022YFS0123); 成都市科技局技术创新研究项目(2019-YF05-00769-SN)

Application of artificial intelligence technology in oral and maxillofacial X ray and computed tomography image processing

MAO Ying(), ZHAO Lüyang, LONG Jie()   

  1. The State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases,Department of Trauma and Platic Surgery, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan Province, China
  • Received:2021-07-07 Revised:2021-10-05 Online:2022-04-28 Published:2022-06-29

摘要:

随着数字医学和精准治疗的大量临床实践,人工智能(artificial intelligence, AI)在口腔临床医学领域的研究与应用日益广泛。X线及计算机断层扫描(computed tomography, CT)是口腔疾病的常规检查手段,将其图像与AI相结合,通过分析大量数据,最终可借助基于机器学习的数据驱动分析算法来支持临床诊断和决策,可辅助建立合适的治疗计划。诸多研究表明,基于AI的程序系统性能非常出色,其准确性接近甚至超过经过系统培训的专业人员。本文概述了AI在口腔颌面部X线及CT影像图像处理方面的现有应用及研究进展,以期为口腔疾病的预测、诊断、治疗及预后评估提供新思路。

关键词: 人工智能, 机器学习, X线, 计算机断层扫描

Abstract:

The research and application of artificial intelligence (AI) in oral clinical medicine has become widespread with numerous clinical practice in digital medicine and precision treatment. X ray and computed tomography (CT) are routine examination methods for oral diseases. By combining X ray and CT images with AI and analyzing a large amount of data, the data-driven analysis algorithm based on machine learning can finally be used for supporting clinical diagnosis and decision-making and assisting in establishing appropriate treatment plan. Lots of studies indicate that performance of the program system based on artificial intelligence technology is exceptionally excellent, and its accuracy is approaching or even better than trained professionals. This article aims to review the application of AI in oral and maxillofacial radiology and CT image processing, in order to provide a new idea for the prediction, diagnosis, treatment and prognosis of oral and maxillofacial diseases.

Key words: artificial intelligence, machine learning, X ray, computed tomography