Artificial Intelligence in Oral Health

• Autore: Lee Jae-Hong
• Pubblicazione: Basel, : MDPI Books, 2022
• Descrizione fisica: 1 electronic resource (190 p.)
• Soggetto topico: Medicine
• Soggetto non controllato: 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
• Persona (resp. second.): LeeJae-Hong
• Sommario/riassunto: 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.
• Titolo autorizzato: Artificial Intelligence in Oral Health
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910595066803321
• Lo trovi qui: Univ. Federico II