Accuracy of artificial intelligence-assisted landmark identification in serial lateral cephalograms of Class III patients who underwent orthodontic treatment and two-jaw orthognathic surgery

OBJECTIVE: To investigate the pattern of accuracy change in artificial intelligence-assisted landmark identification (LI) using a convolutional neural network (CNN) algorithm in serial lateral cephalograms (Lat-cephs) of Class III (C-III) patients who underwent two-jaw orthognathic surgery. METHODS:...

Descripción completa

Detalles Bibliográficos
Autores principales: Hong, Mihee, Kim, Inhwan, Cho, Jin-Hyoung, Kang, Kyung-Hwa, Kim, Minji, Kim, Su-Jung, Kim, Yoon-Ji, Sung, Sang-Jin, Kim, Young Ho, Lim, Sung-Hoon, Kim, Namkug, Baek, Seung-Hak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Association of Orthodontists 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314217/
https://www.ncbi.nlm.nih.gov/pubmed/35719042
http://dx.doi.org/10.4041/kjod21.248

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314217/
https://www.ncbi.nlm.nih.gov/pubmed/35719042
http://dx.doi.org/10.4041/kjod21.248

Ejemplares similares