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020 _a9783031438271
_9978-3-031-43827-1
024 7 _a10.1007/978-3-031-43827-1
_2doi
072 7 _aMMD
_2bicssc
072 7 _aMED016000
_2bisacsh
072 7 _aMKE
_2thema
245 1 0 _aArtificial Intelligence in Dentistry
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2023.
300 _aVI, 364 p. 131 illus., 117 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _a1. Introduction to Artificial Intelligence -- 2. Understanding of AI in dental field with technical aspects -- 3. Artificial intelligence from Medicine to Dentistry -- 4. Applications of Artificial Intelligence in Dentistry -- 5. Applications of AI in endodontics and restorative dentistry -- 6. Artificial Neural Networks for the Design Optimization of Implants -- 7. Outlook for AI in Oral Surgery and Periodontics -- 8. AI in orthodontics -- 9. AI on Oral Mucosal lesions detection -- 10. Impact of AI in Obstructive Sleep Apnea -- 11. Artificial Intelligence in Temporomandibular Joint Disorders -- 12. Artificial Intelligence for 3D Printing and Bioprinting -- 13. Artificial intelligence in Dental Education -- 14. Advantages, Disadvantages, and Limitations of AI in Dental Health -- 15. Applications of Machine Learning and Artificial Intelligence in the Covid-19 Pandemic -- 16. Medico-legal Problems of Artificial Intelligence -- 17. Deep learning in image processing - Part I: Types of neural networks, image segmentation -- 18. Deep learning in image processing - Part II: Image enhancement, reconstruction, and registration -- 19. Future Perspectives on AI in Dentistry.
520 _aThis comprehensive book focuses on various aspects of artificial intelligence in dentistry, assisting dentists, specialists, and scientists in advancing their understanding, knowledge, training, and expertise in this field of artificial intelligence. Readers will learn about AI-supported pathways for the diagnosis and treatment of dental caries, periodontal bone loss, impacted teeth, periapical lesions, crown, and root fractures, working length determination, and detecting root and canal morphology, TMJ disorders, detection of obstructive sleep apnea, oral mucosal lesions, and many more. Prediction tasks include the estimation of retreatment needs and third molar eruption. Critical information on applications of AI in the field of Oral and Maxillofacial Radiology, Implants, Endodontics, Prosthodontics, Restorative dentistry, Oral surgery, Periodontics, and Orthodontics. Gain valuable insight into studies applying machine learning based on Machine Learning (ML), Deep Learning (DL), and Artificial Neural Networks (ANN). Explore the technical aspects and medical applications of AI in dentistry. Additionally, discover cutting-edge topics like 3D and bioprinting applications of AI and its integration into dental education. All the chapters provide thorough, evidence-based data on AI and its implications in oral health, bridging the gap between knowledge and practical application. The book explains the advantages, disadvantages, and limitations of AI in dental health. Delve into the medico-legal aspects of AI to navigate this cutting-edge landscape responsibly. Learn about applications of Machine Learning and Artificial Intelligence in the Covid-19 Pandemic. Extensive information on deep learning in image processing, including various types of neural networks, image segmentation, enhancement, reconstruction, and registration. This book concludes with an exploration of AI's exciting potential and future perspectives in the dental field, paving the way for a new era of oral healthcare. Don't miss out on this unique resource for AI in Dentistry, which empowers you to stay at the forefront of innovation and embrace the AI revolution in Dentistry. Be prepared for the future of dentistry.
650 0 _aDentistry.
650 1 4 _aDentistry.
700 1 _aOrhan, Kaan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aJagtap, Rohan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
856 _u#gotoholdings
_yAccess resource
912 _aZDB-2-SME
912 _aZDB-2-SXM
245 _h[E-Book]
999 _c103099
_d103099