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Palabras clave – provistas por la editorial

machine learning; artificial intelligence; malocclusion; diagnostic imaging; active learning; maxillary sinusitis; convolutional neural network; deep learning; segmentation; oral microbiota; LEfSe; PCoA; alloprevotella; prevotella; core microbiota; artificial neural networks; oral cancer diagnosis; oral cancer prediction; pit and fissure sealants; caries assessment; visual examination; clinical evaluation; convolutional neural networks; 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; 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; AI; screening; diagnosis; dentistry; ultrasonography; tongue; algorithm; dysphagia; impacted; tooth; detection; neural networks; proximal caries; training strategy; small dataset; periapical radiograph; X-ray; tooth extraction; oroantral fistula; operative planning; n/a