Artificial Intelligence in Dentistry (eBook, PDF)

Redaktion: Orhan, Kaan; Jagtap, Rohan

• Format: PDF

Produktbeschreibung

This 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), DeepLearning (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.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 364
• Erscheinungstermin: 10. Januar 2024
• Englisch
• ISBN-13: 9783031438271
• Artikelnr.: 69774275

Autorenporträt

Kaan Orhan, DDS MSc MHM PhD, BA is the Dean and a Professor of DentoMaxilloFacial Radiology at the Ankara University, Faculty of Dentistry, where he serves as a faculty in Dentomaxillofacial Radiology Department, Ankara University, Ankara, Turkey, and visiting Professor at the Medical University of Lublin, Poland and was also visiting Professor between 2018-2020 at the OMFS-IMPATH Research Group, Department of Imaging and Pathology, University of Leuven, Belgium.   Dr. Orhan received his dental degree in 1998 and completed his PhD and Maxillofacial radiology residency studies in 2002 at the Osaka University Faculty of Dentistry in Osaka, Japan and Ankara University, Faculty of Dentistry. In 2004, he started his academic career in Ankara University as a consultant at the Faculty of Dentistry. Between 2004-2006, he worked as Maxillofacial consultant and lecturer in the same University. He became an associate professor in 2006 and a full-time professor in 2012.2007-2010, he was the founder and the chairman of Dentomaxillofacial Radiology Department, Near East University, Cyprus.   He has over 400 SCI international publications on peer-reviewed journals, and received over 7000 citations from his studies with an h index 45. He particularly made significant contributions in the Maxillofacial Radiology. He has been invited to give many lectures in national and international scientific meetings. He served as the chairman of Research and Scientific Committee, European Academy of DentoMaxillofacial Radiology (EADMFR) between 2008-2012 and he was elected for the Vice president position (2012-2014) and then as the President of EADMFR.   He is also president-elect International Association of DentoMaxillofacial Radiology (IADMFR). He is a fellow of American Academy of Oral and Maxillofacial Radiology (AAOMFR), Japanese Board of DentoMaxillofacial Radiology, European Head and Neck Radiology Society (ESHNR), European society of Magnetic Resonance in Medicine and Biology (ESRMB), Turkish Magnetic Resonance Society,   He was a Board member of specialization committee in Ministry of Health and served as the recognition of Dentomaxillofacial Radiology specialty in Turkey. He is editor of several journals and also reviewer more than 50 different medical journals. He is co-author and contributor of more than 10 books both in English and Turkish.   Prof. Dr. Kaan Orhan was included in the "World's Most Influential Scientist" list, which was published by Stanford University in 2021-2022, at the rate of 2% according to academic and scientific performance among 7 million researchers all over the world. In 2020, he received the "Innovative Dentist of the Year" award with his work titled Artificial Intelligence Application in Dentistry. Besides, The Lincoln R. Manson-Hing Honorable Mention Award given by the Oral Maxillofacial Radiology Association of America in 2018 and 2019, and the Ankara University Science Award in 2018, the Turkish Dental Society Oral and Dental Health 2nd Prize in 2015, and the "52nd Prize in Dental Health" in 2011. Japanese Congress of DentoMaxillofacial Radiology". He received the European Congress of DentoMaxillofacial Radiology", the best study award in 2008. "Yoshida Manufacturing Award" at the "7th Asia Oral and Maxillofacial Radiology" congress in 2008.       Dr. Rohan Jagtap is the Director of the Division of Oral and Maxillofacial Radiology and an Assistant Professor in the Department of Care Planning and Restorative Sciences, with a dual appointment in the Department of Radiology School of Medicine at the University of Mississippi Medical Center, Jackson, MS, USA. Dr. Jagtap earned his Bachelor of Dental Surgery degree from Maharashtra University of Health Sciences, Nashik, India, in 2013. He completed his Master's in Healthcare Administration from Midwestern State University, Wichita Falls, Texas, in 2018, and pursued his Oral and Maxillofacial Radiology residency at the prestigious University of Florida College of Dentistry from 2017 to 2019. Dr. Jagtap is a clinical research scientist with a primary interest in artificial intelligence, 3D imaging, rare diseases/disorders, and endodontics. He has made significant contributions to the field of Artificial Intelligence and has collaborated with multiple companies on their FDA approvals. He is the author or co-author of numerous articles in peer-reviewed publications and has given scientific presentations on national and international platforms. Dr. Jagtap is also an international speaker and has been invited as a guest speaker to several national and international conferences. Over the years, he has mentored numerous undergraduate students, dental students and residents, oral surgery residents, medical students, and radiology residents. Additionally, he holds editorial board and reviewer positions for multiple high-impact peer-reviewed journals. He is recognized as a national leader in the field of Dentistry and Oral & Maxillofacial Radiology. Currently, Dr. Jagtap serves as the Chair of the American Dental Education Association Radiology Section and is the Vice-President of the International Association for Dental, Oral, and Craniofacial Research Diagnostic Sciences Group. In 2024, he will progress to President-elect, followed by President in 2025. Dr. Jagtap firmly believes in a dentist's robust societal responsibility, which he has acutely demonstrated through his service. He has volunteered in community service for underserved populations, serving as a dental health educator and provider in various community camps in both India and the United States. Moreover, Dr. Jagtap works with the United States Department of Defense to provide critical dental care to the US service members in the Army, Navy, Air Force, and Marines. Throughout his career, Dr. Jagtap has been actively served on multiple committees and is a member of several professional organizations, including the American Dental Association, Joint Commission on National Dental Examination, International Association for Dental, Oral, and Craniofacial Research, American Dental Education Association, Radiology Society of North America, American Academy of Oral and Maxillofacial Radiology, and American Association of Endodontists, among others. Due to his extraordinary work and international recognition, Dr. Jagtap has received honorary fellowships in national and international organizations such as the Pierre Fauchard Academy, Academy of Dentistry International, and American College of Dentists. Currently, he serves as the only Oral & Maxillofacial Radiologist at the University of Mississippi Medical Center and within the entire state of Mississippi.

Inhaltsangabe

1. 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.