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Cephalometric characteristics of individuals with impacted maxillary canines regarding their impaction sector: A comparative study. [PDF]

open access: yesJ Clin Exp Dent
Mendoza-Trujillo HR   +4 more
europepmc   +1 more source

Prevalence of Dental Anomalies in Pediatric Patients visiting Tertiary Care Hospital: A Panoramic Radiograph based study

open access: hybrid
Sagar Adhikari   +6 more
openalex   +2 more sources

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open access: yes
The Kaohsiung Journal of Medical Sciences, Volume 42, Issue 2, February 2026.
wiley   +1 more source
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Anomaly detection in panoramic dental x-rays using a hybrid Deep Learning and Machine Learning approach

IEEE Region 10 Conference, 2020
Automated anomaly detection in panoramic dental x-rays is a crucial step in streamlining post diagnosis treatment. It can reduce clinical time for a patient and also aid in giving them faster access to medical care.
Dhruv Verma   +3 more
semanticscholar   +1 more source

Exploring the potential of artificial intelligence in paediatric dentistry: A systematic review on deep learning algorithms for dental anomaly detection.

International Journal of Paediatric Dentistry
BACKGROUND Artificial intelligence (AI) based on deep learning (DL) algorithms has shown promise in enhancing the speed and accuracy of dental anomaly detection in paediatric dentistry. AIM This systematic review aimed to investigate the performance of
Henri Hartman   +4 more
semanticscholar   +1 more source

Human genes for dental anomalies

Oral Diseases, 1997
The development of the tooth at gene level is beginning to be understood. This paper reviews current knowledge and the advances in research on human genes whose defect leads to dental anomalieS. Amelogenesis imperfecta (AI) is a diverse group of hereditary disorders characterized by a variety of developmental enamel defects including hypoplasia and ...
K, Kurisu, M J, Tabata
openaire   +2 more sources

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