Evaluation of the performance of an artificial intelligence model in recognizing the habitual mixed language in Taiwan for generating periodontal charting text reports
Our AI model showed strong speech recognition abilities without requiring extensive training in professional knowledge. It effectively identified dental terms and their related examinations and numbers in mixed language contexts. Future optimizations will focus on addressing errors from uneven speech speed and individual examiner habits.
Authors
- Chih-Yuan Fang (ORCID: https://orcid.org/0000-0002-1265-0858)
- Yoichi Ohiro (ORCID: https://orcid.org/0000-0003-1831-3454)
- Yi-June Lo
- Yung‐Chun Chang (ORCID: https://orcid.org/0000-0002-9634-8380)
- Hsuan-Po Wang (ORCID: https://orcid.org/0000-0002-0240-8793)
- Chien‐Hung Chen (ORCID: https://orcid.org/0000-0002-2056-0350)
- Hao‐Chen Wang
Institutions
- National Taiwan University (TW)
- Hokkaido University (JP)
- Taipei Medical University Hospital (TW)
- Wan Fang Hospital (TW)
- Taipei Medical University (TW)
Publication Details
- Journal
- Journal of Dental Sciences
- Published
- 2025-11-13
- DOI
- https://doi.org/10.1016/j.jds.2025.10.034
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00