Artificial Intelligence in Oral Health
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.
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| Sonstige: | |
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| Year of Publication: | 2022 |
| Language: | English |
| Physical Description: | 1 electronic resource (190 p.) |
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| 653 | |a malocclusion | ||
| 653 | |a diagnostic imaging | ||
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| 653 | |a maxillary sinusitis | ||
| 653 | |a convolutional neural network | ||
| 653 | |a deep learning | ||
| 653 | |a segmentation | ||
| 653 | |a oral microbiota | ||
| 653 | |a LEfSe | ||
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| 653 | |a alloprevotella | ||
| 653 | |a prevotella | ||
| 653 | |a core microbiota | ||
| 653 | |a artificial neural networks | ||
| 653 | |a oral cancer diagnosis | ||
| 653 | |a oral cancer prediction | ||
| 653 | |a pit and fissure sealants | ||
| 653 | |a caries assessment | ||
| 653 | |a visual examination | ||
| 653 | |a clinical evaluation | ||
| 653 | |a convolutional neural networks | ||
| 653 | |a transfer learning | ||
| 653 | |a deep learning network | ||
| 653 | |a YOLOv4 | ||
| 653 | |a mandibular third molar | ||
| 653 | |a inferior alveolar nerve | ||
| 653 | |a contact relationship | ||
| 653 | |a panoramic radiograph | ||
| 653 | |a deep learning methods | ||
| 653 | |a caries diagnosis | ||
| 653 | |a dental panoramic images | ||
| 653 | |a radiography | ||
| 653 | |a Fourier transform infrared spectroscopy | ||
| 653 | |a FTIR imaging | ||
| 653 | |a spectral biomarker | ||
| 653 | |a multivariate analysis | ||
| 653 | |a discriminant model | ||
| 653 | |a oral squamous cell carcinoma | ||
| 653 | |a oral epithelial dysplasia | ||
| 653 | |a oral potentially malignant disorder | ||
| 653 | |a risk stratification | ||
| 653 | |a early oral cancer detection | ||
| 653 | |a dentigerous cysts | ||
| 653 | |a histopathology images | ||
| 653 | |a image classification | ||
| 653 | |a odontogenic keratocysts | ||
| 653 | |a radicular cysts | ||
| 653 | |a AI | ||
| 653 | |a screening | ||
| 653 | |a diagnosis | ||
| 653 | |a dentistry | ||
| 653 | |a ultrasonography | ||
| 653 | |a tongue | ||
| 653 | |a algorithm | ||
| 653 | |a dysphagia | ||
| 653 | |a impacted | ||
| 653 | |a tooth | ||
| 653 | |a detection | ||
| 653 | |a neural networks | ||
| 653 | |a proximal caries | ||
| 653 | |a training strategy | ||
| 653 | |a small dataset | ||
| 653 | |a periapical radiograph | ||
| 653 | |a X-ray | ||
| 653 | |a tooth extraction | ||
| 653 | |a oroantral fistula | ||
| 653 | |a operative planning | ||
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