Clinical accuracy of cephalometric analysis using deep learning–based automated landmark identification on CBCT in class I and class II malocclusions

Y Yan Jiang (Experimental Center for Advanced Materials, School of Materials Science and Engineering) R Rana A. A. M. AL-Mohana C Canyang Jiang X Xiaojing Zhang B Bin Shi Y You Wu X Xinghao Wang J Jianping Huang X Xiaohong Huang (State and Local Joint Engineering Laboratory for Novel Functional Polymeric Materials, College of Chemistry, Chemical Engineering and Materials Science) L Lisong Lin L Li Huang (Beijing National Center for Condensed Matter Physics and Institute of Physics)

Article Details

Volume / Issue Vol. 16, Issue 1
Published February 24, 2026
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (11)

Y

Yan Jiang

Experimental Center for Advanced Materials, School of Materials Science and Engineering

R

Rana A. A. M. AL-Mohana

C

Canyang Jiang

X

Xiaojing Zhang

B

Bin Shi

Y

You Wu

X

Xinghao Wang

J

Jianping Huang

X

Xiaohong Huang

State and Local Joint Engineering Laboratory for Novel Functional Polymeric Materials, College of Chemistry, Chemical Engineering and Materials Science

L

Lisong Lin

L

Li Huang

Beijing National Center for Condensed Matter Physics and Institute of Physics