Diagnostic accuracy of artificial intelligence-assisted caries detection: a clinical evaluation
The AI-assisted caries detection tool demonstrated potential for clinical application, with high overall accuracy and specificity. However, the sensitivity varied considerably depending on tooth position and caries type, suggesting the need for further improvement. Integration of multimodal data and development of more advanced AI models may enhance the performance of AI-assisted caries detection in clinical practice.
Authors
- Yuan‐ming Geng (ORCID: https://orcid.org/0000-0001-5393-1675)
- Jingwen Zhang (ORCID: https://orcid.org/0000-0003-4519-5502)
- Xiao‐Qing Shen
- Fang‐bing Zhao
- Jie Fan
- Bing'er Ma
Institutions
- Shangrao Normal University (CN)
- Guangdong University of Technology (CN)
- Zhujiang Hospital (CN)
Publication Details
- Journal
- BMC Oral Health
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1186/s12903-024-04847-w
- Citations
- 26
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 12.83
Funders
- Guangdong Medical Research Foundation
- Natural Science Foundation of Jiangxi Province
- Southern Medical University