Feasibility of occlusal plane in predicting the changes in anteroposterior mandibular position: a comprehensive analysis using deep learning-based three-dimensional models.

Abstract

Authors

• Bingran Du
  Department of Stomatology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, 528308, Guangdong, China.
• Kaichen Li
  School of Mathematics, South China University of Technology, Guangzhou, 510641, Guangdong, China.
• Zhiling Shen
  Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, 510280, Guangdong, China.
• Yihang Cheng
  Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, 510280, Guangdong, China.
• Jiayan Yu
  Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, 510280, Guangdong, China.
• Yaopeng Pan
  Department of Stomatology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, 528308, Guangdong, China.
• Ziyan Huang
  Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China; Shanghai AI Laboratory, Shanghai, China.
• Fei Hu
  Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL 35487 USA.
• Xiaohui Rausch-Fan
  Center of Clinic Research, Division of Conservative Dentistry and Periodontology, University Dental Clinic, Medical University Vienna, Vienna, 1090, Austria.
• Yuanpeng Zhu
  Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China.
• Xueyang Zhang
  Department of Stomatology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, 528308, Guangdong, China. zxy123@smu.edu.cn.

Keywords

External Resources