TY - CHAP
T1 - Automated Detection of Caries, Ulcers, Tooth Discoloration, and Gingivitis Through Intraoral Image Analysis
AU - Chavez, Heyul
AU - Trujillo, Carlos Silvestre Herrera
AU - Huaman, Kevin Guerra
AU - Zapata, Gianpierre
AU - Raymundo, Carlos
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - This study presents an automated approach for detecting and predicting four oral conditions: caries, ulcers, tooth discoloration, and gingivitis, using intraoral image analysis. Image processing techniques and artificial intelligence models are applied to identify these conditions from intraoral photographs. The developed system achieved a precision of 0.9366 and a recall of 0.9315, demonstrating a high accuracy in correct predictions. Additionally, the model reached a mAP50 of 0.9409 and a mAP50-95 of 0.6948, showing strong performance across both lenient thresholds and stricter evaluation metrics. These results suggest that this technology could become a valuable tool in the field of dentistry, enabling timely diagnosis and improving the quality of treatment.
AB - This study presents an automated approach for detecting and predicting four oral conditions: caries, ulcers, tooth discoloration, and gingivitis, using intraoral image analysis. Image processing techniques and artificial intelligence models are applied to identify these conditions from intraoral photographs. The developed system achieved a precision of 0.9366 and a recall of 0.9315, demonstrating a high accuracy in correct predictions. Additionally, the model reached a mAP50 of 0.9409 and a mAP50-95 of 0.6948, showing strong performance across both lenient thresholds and stricter evaluation metrics. These results suggest that this technology could become a valuable tool in the field of dentistry, enabling timely diagnosis and improving the quality of treatment.
KW - Artificial intelligence
KW - Caries
KW - Intraoral image
KW - Oral diseases
KW - Ulcer
UR - https://www.scopus.com/pages/publications/105027260260
U2 - 10.1007/978-3-031-87372-0_24
DO - 10.1007/978-3-031-87372-0_24
M3 - Capítulo
AN - SCOPUS:105027260260
T3 - Studies in Systems, Decision and Control
SP - 259
EP - 267
BT - Studies in Systems, Decision and Control
PB - Springer Science and Business Media Deutschland GmbH
ER -