Quantitative evaluation of an artificial intelligence-driven remote monitoring system for occlusion assessment using patient-captured images.
- DOI
- 10.2319/010926-30.1
- Published
- 2026 Jun 2
- Container
- The Angle orthodontist
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2319/010926-30.1,
title = {Quantitative evaluation of an artificial intelligence-driven remote monitoring system for occlusion assessment using patient-captured images.},
author = {Bills D and Benton B and Dabney W and Sellke TA},
year = {2026},
journal = {The Angle orthodontist},
doi = {10.2319/010926-30.1},
url = {https://doi.org/10.2319/010926-30.1}
}RIS
TY - JOUR TI - Quantitative evaluation of an artificial intelligence-driven remote monitoring system for occlusion assessment using patient-captured images. AU - Bills D AU - Benton B AU - Dabney W AU - Sellke TA PY - 2026 JO - The Angle orthodontist DO - 10.2319/010926-30.1 UR - https://doi.org/10.2319/010926-30.1 ER -
APA
D, B., B, B., W, D., & TA, S. (2026). Quantitative evaluation of an artificial intelligence-driven remote monitoring system for occlusion assessment using patient-captured images.. The Angle orthodontist. https://doi.org/10.2319/010926-30.1
Source records
- pubmed · retrieved 2026-09-25T04:54:57.883Z