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Artificial Intelligence in Dentistry

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  • © 2023

Overview

  • Looks at recent advances in dental and oral health
  • Discusses AI applications in dentistry
  • Includes case studies

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About this book

This book provides an introduction to next-generation applications and technologies for improving diagnostic accuracy and prediction of treatment outcomes in dentistry through the use of artificial intelligence (AI) and machine learning (ML). The authors attempt to bridge the gap between dental research and global health outcomes, as well as provide a comprehensive guide to general and clinical aspects of dental and oral health issues and the etiology, prevalence, assessment, and management of these conditions. This book combines engineering applications and medical healthcare and will be an important reference for researchers, biomedical engineers, dental students, and dental practitioners. 

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Keywords

Table of contents (8 chapters)

Reviews

“A book written by a team of respected professionals, which delves into the fusion between dentistry and AI, offering valuable viewpoints on the successful integration of AI into the field of oral healthcare. Specifically targeting oral health practitioners and researchers, the book features organised chapters and up-to-date references, making its structure easily navigable. … Artificial intelligence in dentistry is an indispensable addition to the bookshelf of anyone interested in forthcoming developments in dentistry and the intersection of dentistry with AI.” (Mojtaba Mehrabanian, British Dental Journal, Vol. 235 (3), August, 2023)

Authors and Affiliations

  • Prognica Labs Tech FZCO, Dubai, United Arab Emirates

    Khalid Shaikh

  • IntelliDent AI, Dubai, United Arab Emirates

    Sreelekshmi Vivek Bekal

  • Gulf Medical University, Ajman, United Arab Emirates

    Hesham Fathi Ahmed Marei, Walid Shaaban Moustafa Elsayed, Dusan Surdilovic, Lubna Abdel Jawad

About the authors

Khalid Shaikh is a serial entrepreneur, a technocrat, and a business strategist based in Dubai, UAE. He is the founder and CEO of Prognica Labs, an artificial intelligence-powered health-tech startup, IntelliDent AI, a dental AI company, and Affaan Technologies, an AI consulting and development company. He has received numerous awards for his innovations in healthcare.

He is a computer engineer and has a solid record of more than 20 years of high-level performance in the healthcare and finance industries. In addition to his professional commitments, he also gives back to the aspiring entrepreneur community by serving as an advisor and mentor.

 

Sreelekshmi Vivek, BDS, is the Medical Director at IntelliDent AI in Dubai, UAE. She received her degree in dental surgery from the Government Dental College and Hospital and is a member of the Indian Dental Association.

 

Dr. Hesham Fathi Ahmed Marei, Dean of College of Dentistry at Gulf Medical University, is a Professor of Oral and Maxillofacial Surgery. He graduated at Cairo University in 1997, and then received his Master and Doctoral Degrees in Oral and Maxillofacial Surgery from Suez Canal University, Egypt. Prof. Marei has completed his clinical oral and maxillofacial surgery training at Cardiff Dental School, UK and obtained his Fellowship in Dental Surgery in 2006 from the Royal College of Surgeons in London. Obtained another Master’s Degree in Medical Education in 2012 and a PhD in the Health Professions Education in 2018 at Maastricht University, the Netherlands.

In research, Prof. Marei has over 35 publications in internationally recognized journal and his research focus is on the applications of 3D printing technology in dentistry, the effect of chemotherapy on bone healing, osseointegration of dental implants, use of virtual patients in dental education and medical professionalism. Prof. Marei has actively contributed with presentations, workshops and courses in both specialties at several national and international events in Egypt, Saudi Arabia, Bahrain, UAE, Pakistan, the Netherlands, UK and USA.

 

Dr. Walid Shaaban Moustafa Elsayed, Associate Dean of Academics at Gulf Medical University, was awarded his bachelor’s degree in dental medicine and Surgery from the Faculty of Dentistry, Cairo University, Egypt, in 1996. He completed the master’s degree in Oral Biology and Oral Pathology at Suez Canal University on 2004. Dr. Walid has been awarded his PhD thesis at 2011 from Leeds University (UK). This period of research training has successfully focused on the identification of new genes important for enamel biomineralization and characterization of the Ultrastructural enamel defects. Dr. Walid`s big achievement was discovering mutations in WDR72 gene that disrupt enamel formation and result in hypomaturation Amelogenesis Imperfecta (AI). This was reported in the American Journal of Human Genetics and opened a new area of research in biomineralization. In addition to that, he contributed to the discovery of CNNM4, GPR68 and C4orf26 genes as the cause for amelogenesis imperfecta, which were reported in the American Journal of Human Genetics.

Dr. Walid is working now in the field of the cancer and hypoxia interested in genetic heterogeneity induced by hypoxia and its implications in tumor immunogenicity and immune evasion strategies adapted by cancer cells

 

Dr. Dusan Surdilovic, Chairperson of Preventive Dental Science Department at Gulf Medical University, is Associate Professor, Chairperson of Department of Preventive Dental Science at Gulf Medical University, UAE from 2015. He served as Assistant Professor at College of Dentistry, University of Nis, Serbia, Europe, for 15 years, providing teaching, clinical training and examining in pediatric dentistry, restorative dentistry and oral surgery and medicine Dentistry. Dr. Dusan gained his specialty training at College of Dentistry, University of Nis (Serbia). He obtain his first Master Degree in Pediatric and Preventive Dentistry at prestigious Karolinska Institutet (KI), Stockholm, Sweden. Moreover, Dr. Dusan has passion in healthcare management. This commitment led him to obtain his second master’s degree in healthcare management in 2013 at the University of Belgrade in cooperation with the London School of Economics. His doctoral thesis „Role of carbonic anhydrase, nitrogen monoxide and buffers of the saliva in the assessment of risk for caries in children with permanent dentition“ from a University of Nis was awarded as the best doctoral dissertation by Balkan Association of Dentists (BASS) (Greece, Croatia, Serbia, Romania, Hungary & Bulgaria).

He is designated member of European Academy of Pediatric Dentistry (EAPD). He has published more than 60 scientific articles, chapters and course books. He was a scientific researcher with fellowship at Karolinska Institute Stockholm, Sweden. Dr Surdilovic has a significant number of appreciation certificates awarded following participation and contributions in national and international dental congresses, conferences and workshops. Licensed to practice from the several dental registers (Serbia, Norway, UAE).

 

Dr. Lubna Abdel Jawad, is Lecturer of Technology and Innovation, College of Health Management and Economics, at Gulf Medical University.


Bibliographic Information

  • Book Title: Artificial Intelligence in Dentistry

  • Authors: Khalid Shaikh, Sreelekshmi Vivek Bekal, Hesham Fathi Ahmed Marei, Walid Shaaban Moustafa Elsayed, Dusan Surdilovic, Lubna Abdel Jawad

  • DOI: https://doi.org/10.1007/978-3-031-19715-4

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-19714-7Published: 06 December 2022

  • Softcover ISBN: 978-3-031-19717-8Published: 06 December 2023

  • eBook ISBN: 978-3-031-19715-4Published: 05 December 2022

  • Edition Number: 1

  • Number of Pages: IX, 198

  • Number of Illustrations: 47 b/w illustrations, 2 illustrations in colour

  • Topics: Biomedical Engineering and Bioengineering, Dentistry, Artificial Intelligence, Machine Learning

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