Fit accuracy of complete crowns fabricated by generative artificial intelligence design: a comparative clinical study
The fit accuracy of crowns fabricated using generative artificial intelligence was equivalent to those produced using the manual-input computer design method when the margins were well defined. While marginal and occlusal discrepancies were within clinically acceptable range, careful attention must be given to automated design outcomes, considering various tooth preparation shapes, anatomical structures, and clinical variations.
Authors
- Jong‐Eun Kim (ORCID: https://orcid.org/0000-0002-7834-2524)
- Thaw Thaw Win (ORCID: https://orcid.org/0000-0001-7460-717X)
- So-Yeun Kim (ORCID: https://orcid.org/0000-0001-6714-8315)
- Hang‐Nga Mai (ORCID: https://orcid.org/0000-0002-9832-3312)
- Du‐Hyeong Lee (ORCID: https://orcid.org/0000-0003-2803-7457)
- Seok‐Hwan Cho (ORCID: https://orcid.org/0000-0002-2383-4011)
- Viritpon Srimaneepong (ORCID: https://orcid.org/0000-0002-8545-2713)
- Jekita Kaenploy (ORCID: https://orcid.org/0009-0004-2125-4357)
Institutions
- University of Iowa (US)
- Chulalongkorn University (TH)
- Yonsei University (KR)
- Kyungpook National University (KR)
- Hanoi University of Business and Technology (VN)
- Yonsei University College of Dentistry
- University of Oklahoma Health Sciences Center (US)
Publication Details
- Journal
- The Journal of Advanced Prosthodontics
- Published
- 2025-01-01
- DOI
- https://doi.org/10.4047/jap.2025.17.4.224
- Citations
- 6
- Primary Topic
- Digital Imaging in Medicine
- Type
- article
- Field-Weighted Citation Impact
- 11.27
Funders
- Korea Medical Device Development Fund
- Ministry of Trade, Industry and Energy
- Ministry of Food and Drug Safety
- Ministry of Science and ICT, South Korea