Artificial Intelligence in Oral Health

doi:10.3390/books978-3-0365-5143-2

dc.contributor.editor	Lee, Jae-Hong
dc.date.accessioned	2023-02-20T16:46:20Z
dc.date.available	2023-02-20T16:46:20Z
dc.date.issued	2022
dc.identifier	ONIX_20230220_9783036551449_80
dc.identifier.uri	https://directory.doabooks.org/handle/20.500.12854/97477
dc.description.abstract	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.
dc.language	English
dc.subject.classification	thema EDItEUR::M Medicine and Nursing	en_US
dc.subject.other	machine learning
dc.subject.other	artificial intelligence
dc.subject.other	malocclusion
dc.subject.other	diagnostic imaging
dc.subject.other	active learning
dc.subject.other	maxillary sinusitis
dc.subject.other	convolutional neural network
dc.subject.other	deep learning
dc.subject.other	segmentation
dc.subject.other	oral microbiota
dc.subject.other	LEfSe
dc.subject.other	PCoA
dc.subject.other	alloprevotella
dc.subject.other	prevotella
dc.subject.other	core microbiota
dc.subject.other	artificial neural networks
dc.subject.other	oral cancer diagnosis
dc.subject.other	oral cancer prediction
dc.subject.other	pit and fissure sealants
dc.subject.other	caries assessment
dc.subject.other	visual examination
dc.subject.other	clinical evaluation
dc.subject.other	convolutional neural networks
dc.subject.other	transfer learning
dc.subject.other	deep learning network
dc.subject.other	YOLOv4
dc.subject.other	mandibular third molar
dc.subject.other	inferior alveolar nerve
dc.subject.other	contact relationship
dc.subject.other	panoramic radiograph
dc.subject.other	deep learning methods
dc.subject.other	caries diagnosis
dc.subject.other	dental panoramic images
dc.subject.other	radiography
dc.subject.other	Fourier transform infrared spectroscopy
dc.subject.other	FTIR imaging
dc.subject.other	spectral biomarker
dc.subject.other	multivariate analysis
dc.subject.other	discriminant model
dc.subject.other	oral squamous cell carcinoma
dc.subject.other	oral epithelial dysplasia
dc.subject.other	oral potentially malignant disorder
dc.subject.other	risk stratification
dc.subject.other	early oral cancer detection
dc.subject.other	dentigerous cysts
dc.subject.other	histopathology images
dc.subject.other	image classification
dc.subject.other	odontogenic keratocysts
dc.subject.other	radicular cysts
dc.subject.other	AI
dc.subject.other	screening
dc.subject.other	diagnosis
dc.subject.other	dentistry
dc.subject.other	ultrasonography
dc.subject.other	tongue
dc.subject.other	algorithm
dc.subject.other	dysphagia
dc.subject.other	impacted
dc.subject.other	tooth
dc.subject.other	detection
dc.subject.other	neural networks
dc.subject.other	proximal caries
dc.subject.other	training strategy
dc.subject.other	small dataset
dc.subject.other	periapical radiograph
dc.subject.other	X-ray
dc.subject.other	tooth extraction
dc.subject.other	oroantral fistula
dc.subject.other	operative planning
dc.subject.other	n/a
dc.title	Artificial Intelligence in Oral Health
dc.type	book
oapen.identifier.doi	10.3390/books978-3-0365-5143-2
oapen.relation.isPublishedBy	46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn	9783036551449
oapen.relation.isbn	9783036551432
oapen.pages	190
oapen.place.publication	Basel

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