Accuracy of artificial intelligence-assisted soft tissue landmark identification in serial lateral cephalograms of Class III two-jaw surgery patients
The AI algorithm in this study might be an effective tool for STLI in Lat-Cephs at T1, T2, and T3, despite the presence of brackets, S-PS, fixed retainers, genioplasty, and bone remodeling.
Authors
- Namkug Kim (ORCID: https://orcid.org/0000-0002-3438-2217)
- Sang‐Jin Sung (ORCID: https://orcid.org/0000-0001-9593-564X)
- Jin‐Hyoung Cho
- Seung‐Hak Baek (ORCID: https://orcid.org/0000-0002-6586-9503)
- Sung‐Hoon Lim (ORCID: https://orcid.org/0000-0003-4528-8514)
- Minji Kim (ORCID: https://orcid.org/0000-0001-9044-7145)
- Young Ho Kim (ORCID: https://orcid.org/0000-0002-4284-1874)
- Yoon‐Ji Kim (ORCID: https://orcid.org/0000-0002-7030-569X)
- Su‐Jung Kim (ORCID: https://orcid.org/0000-0001-8500-5246)
- In-Hwan Kim
- Mihee Hong (ORCID: https://orcid.org/0000-0001-6015-1482)
- S. Kim
- Kyung‐Hwa Kang
Institutions
- Chonnam National University (KR)
- Ulsan College (KR)
- Ewha Womans University (KR)
- Chosun University (KR)
- Asan Medical Center (KR)
- Kyungpook National University (KR)
- University of Ulsan (KR)
- Kyung Hee University Dental Hospital (KR)
- Seoul National University Dental Hospital (KR)
- Ajou University (KR)
- Wonkwang University (KR)
Publication Details
- Journal
- The Korean Journal of Orthodontics
- Published
- 2025-06-20
- DOI
- https://doi.org/10.4041/kjod24.302
- Citations
- 1
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.79
Funders
- Korea Health Industry Development Institute