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Artificial Intelligence in Oral Health
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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.
This book is included in DOAB.
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Keywords
- Active learning
- AI
- Algorithm
- Alloprevotella
- artificial intelligence
- Artificial Neural Networks
- caries assessment
- caries diagnosis
- clinical evaluation
- contact relationship
- convolutional neural network
- convolutional neural networks
- core microbiota
- deep learning
- deep learning methods
- deep learning network
- dental panoramic images
- dentigerous cysts
- Dentistry
- Detection
- Diagnosis
- Diagnostic imaging
- discriminant model
- dysphagia
- early oral cancer detection
- Fourier transform infrared spectroscopy
- FTIR imaging
- histopathology images
- image classification
- impacted
- inferior alveolar nerve
- LEfSe
- Machine learning
- Malocclusion
- mandibular third molar
- maxillary sinusitis
- medicine
- multivariate analysis
- n/a
- neural networks
- odontogenic keratocysts
- operative planning
- oral cancer diagnosis
- oral cancer prediction
- oral epithelial dysplasia
- oral microbiota
- oral potentially malignant disorder
- oral squamous cell carcinoma
- oroantral fistula
- panoramic radiograph
- PCoA
- periapical radiograph
- pit and fissure sealants
- prevotella
- proximal caries
- radicular cysts
- Radiography
- risk stratification
- screening
- segmentation
- small dataset
- spectral biomarker
- tongue
- Tooth
- tooth extraction
- training strategy
- transfer learning
- Ultrasonography
- visual examination
- X-ray
- YOLOv4
Links
DOI: 10.3390/books978-3-0365-5143-2Editions
![edition cover edition cover](/static/images/generic_cover_larger.png)