Artificial Intelligence-Based Caries Detection is a computational diagnostic approach that employs machine learning or deep learning algorithms to automatically identify and classify dental caries from clinical or radiographic data, distinguishing itself from conventional methods through data-driven pattern recognition and predictive modeling.
123
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7.7K
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536
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260
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2017–2026
116
Parents
Publications
123
Caries Detection on Intraoral Images Using Artificial Intelligence
Jan Kühnisch, Ole Meyer, Marc Hesenius et al. · Journal of Dental Research · 2021 · 220 citations · Full text
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536
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1–5 of 536
Institutions
260
Charité - Universitätsmedizin Berlin
Berlin, Germany
14 h-index
62 publications
8.3K citations
King George's Medical University
Lucknow, India
7 h-index
12 publications
1.5K citations
Freie Universität Berlin
Berlin, Germany
5 h-index
14 publications
1.6K citations
Berlin Institute of Health at Charité - Universitätsmedizin Berlin
Berlin, Germany
5 h-index
8 publications
1.8K citations
Stomatology Hospital
Xi'an, China
5 h-index
15 publications
1.1K citations
Ankara University
Ankara, Türkiye
4 h-index
6 publications
506 citations
Humboldt-Universität zu Berlin
Berlin, Germany
4 h-index
13 publications
1.5K citations
Yonsei University
Seoul, South Korea
4 h-index
5 publications
158 citations
1–8 of 260
Venues
- Journal of Dentistry
13 publications · 1.6K citations
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- BMC Oral Health
5 publications · 376 citations
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- Journal of Dental Research
JDR · 4 publications · 471 citations
4
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- Diagnostics
4 publications · 135 citations
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- Clinical Oral Investigations
3 publications · 204 citations
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