口腔颌面外科杂志2024，Vol.34Issue(3)：223-226,4.DOI:10.12439/kqhm.1005-4979.2024.03.009
基于影像学下的深度学习技术在评估智齿拔除术后神经损伤风险中的研究进展
Advances in the application of deep learning to the risk assessment of nerve damage associated with extraction of impacted mandibular third molars
摘要
Abstract
The application of deep learning(DL)has become widespread with the development of digital medicine.At present,DL has been gradually applied to the fields of stomatology.Multiple studies have applied DL,combined with preoperative examination images such as X ray and cone beam CT(CBCT)images,to assist clinical diagnosis and decision-making in dealing with impacted mandibular third molar(IMTM).Besides,inferior alveolar nerve(IAN)injury is one of the most serious sequelae after extraction of IMTM.Combined with imageological examination,DL can provide objective and accurate estimation of the risk of IAN injury to improve the outcome of treatment.This paper reviews the current application of DL in preoperative image recognition,preoperative auxiliary diagnosis and evaluation,and IAN injury prognosis prediction in the extraction of IMTM,and looked into the role of DL in the extraction of IMTM in the future.关键词
深度学习/下颌阻生智齿/牙拔除术/全景片/锥形束CT/下牙槽神经损伤Key words
deep learning/impacted mandibular third molar/tooth extraction/orthopantomogram/cone beam CT/inferior alveolar nerve injury分类
医药卫生引用本文复制引用
黄佳奇,李昂,寇一凡,阿亚古斯·赛力克,陈丽丹,张雪明..基于影像学下的深度学习技术在评估智齿拔除术后神经损伤风险中的研究进展[J].口腔颌面外科杂志,2024,34(3):223-226,4.基金项目
同济大学自主原创基础研究项目(22120240389) （22120240389）
