AIMC Topic: Photography, Dental
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Dental anomaly detection using intraoral photos via deep learning.
Scientific reports
Jul 8, 2022
Children with orofacial clefting (OFC) present with a wide range of dental anomalies. Identifying these anomalies is vital to understand their etiology and to discern the complex phenotypic spectrum of OFC. Such anomalies are currently identified usi...
Automated detection of posterior restorations in permanent teeth using artificial intelligence on intraoral photographs.
Journal of dentistry
Apr 5, 2022
OBJECTIVES: Intraoral photographs might be considered the machine-readable equivalent of a clinical-based visual examination and can potentially be used to detect and categorize dental restorations. The first objective of this study was to develop a ...
Detecting white spot lesions on dental photography using deep learning: A pilot study.
Journal of dentistry
Feb 19, 2021
OBJECTIVES: We aimed to apply deep learning to detect white spot lesions in dental photographs.
Deep learning based discrimination of soft tissue profiles requiring orthognathic surgery by facial photographs.
Scientific reports
Oct 1, 2020
Facial photographs of the subjects are often used in the diagnosis process of orthognathic surgery. The aim of this study was to determine whether convolutional neural networks (CNNs) can judge soft tissue profiles requiring orthognathic surgery usin...
Use of artificial intelligence to detect dental caries on intraoral photos.
Quintessence international (Berlin, Germany : 1985)
Jan 30, 2025
Dental caries is one of the most common diseases globally. It affects children and adults living in poverty, who have the most limited access to dental care. Left unexamined and untreated in the early stages, treatments for late-stage and severe cari...
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