Impact of Generative AI-Enhanced Low-Dose Cone-Beam Computed Tomography on Diagnosis and Treatment Planning for Impacted Mandibular Third Molars
Gen-AI-enhanced low-dose CBCT images significantly improved the visibility of the MC and PL for M3M evaluation. Compared to the original CBCTs, these AI-enhanced low-dose images did not significantly affect risk assessments, treatment strategies, or patient management decisions, and were largely indistinguishable from original images.
Authors
- Qi Yong H. Ai (ORCID: https://orcid.org/0000-0002-1155-4389)
- Yiu Yan Leung (ORCID: https://orcid.org/0000-0002-6670-6570)
- Andrew Nalley (ORCID: https://orcid.org/0000-0001-7594-1276)
- Dariush Lotfi
- Reza Safdari (ORCID: https://orcid.org/0000-0002-4982-337X)
- Kuo Feng Hung (ORCID: https://orcid.org/0000-0002-3971-3484)
- Jiegang Yang (ORCID: https://orcid.org/0000-0002-3339-9885)
- Mohamad Koohi‐Moghadam (ORCID: https://orcid.org/0000-0002-7286-0427)
- Xin Li (ORCID: https://orcid.org/0000-0002-6979-1037)
- Rongli Zhang (ORCID: https://orcid.org/0000-0003-3132-3403)
- Kyongtae Ty Bae
Institutions
- HKU-Pasteur Research Pole (HK)
- University of Hong Kong (HK)
Publication Details
- Journal
- International Dental Journal
- Published
- 2025-11-21
- DOI
- https://doi.org/10.1016/j.identj.2025.109287
- Citations
- 2
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 3.58