Reprint

Artificial Intelligence in Oral Health

Edited by
August 2022
190 pages
  • ISBN978-3-0365-5144-9 (Hardback)
  • ISBN978-3-0365-5143-2 (PDF)

This book is a reprint of the Special Issue Artificial Intelligence in Oral Health that was published in

Medicine & Pharmacology
Public Health & Healthcare
Summary

This Special Issue is intended to lay the foundation of AI applications focusing on oral health, including general dentistry, periodontology, implantology, oral surgery, oral radiology, orthodontics, and prosthodontics, among others.

Format
  • Hardback
License
© by the authors
Keywords
machine learning; artificial intelligence; malocclusion; diagnostic imaging; active learning; maxillary sinusitis; convolutional neural network; deep learning; segmentation; machine learning; oral microbiota; LEfSe; PCoA; alloprevotella; prevotella; core microbiota; artificial intelligence; artificial neural networks; oral cancer diagnosis; machine learning; oral cancer prediction; pit and fissure sealants; caries assessment; visual examination; clinical evaluation; artificial intelligence; convolutional neural networks; deep learning; transfer learning; deep learning network; YOLOv4; mandibular third molar; inferior alveolar nerve; contact relationship; panoramic radiograph; deep learning methods; caries diagnosis; dental panoramic images; radiography; Fourier transform infrared spectroscopy; FTIR imaging; spectral biomarker; multivariate analysis; machine learning; discriminant model; oral squamous cell carcinoma; oral epithelial dysplasia; oral potentially malignant disorder; risk stratification; early oral cancer detection; dentigerous cysts; histopathology images; image classification; odontogenic keratocysts; radicular cysts; deep learning; AI; panoramic radiograph; screening; diagnosis; dentistry; artificial intelligence; ultrasonography; tongue; algorithm; dysphagia; impacted; tooth; detection; deep learning; panoramic radiograph; machine learning; dentistry; neural networks; proximal caries; training strategy; small dataset; periapical radiograph; artificial intelligence; deep learning; X-ray; tooth extraction; oroantral fistula; operative planning; n/a