Literature DB >> 33322997

Disruptive Innovation in Dentistry: What It Is and What Could Be Next.

T Joda1, A W K Yeung2, K Hung2, N U Zitzmann1, M M Bornstein3.   

Abstract

Dentistry is a technically oriented profession, and the health care sector is significantly influenced by the ubiquitous trend of digitalization. Some of these digital developments have the potential to result in disruptive changes for dental practice, while others may turn out to be just a pipedream. This Discovery! essay focuses on innovations built on artificial intelligence (AI) as the center-technology influencing 1) dental eHealth data management, 2) clinical and technical health care applications, and 3) services and operations. AI systems enable personalized dental medicine workflows by analyzing all eHealth data gathered from an individual patient. Besides dental-specific data, this also includes genomic, proteomic, and metabolomic information and therefore facilitates optimized and personalized treatment strategies and risk management. Based on the power of AI, the triangular frame of "data"/"health care"/"service" is supplemented by technological advancements in the field of social media, Internet of things, augmented and virtual reality, rapid prototyping, and intraoral optical scanning as well as teledentistry. Innovation continues to be critical to tackle dental problems until its routine implementation based on sound scientific evidence. Novel technologies must be viewed critically in relation to the cost-benefit ratio and the ethical implications of a misleading diagnosis or treatment produced by AI algorithms. Highly sensitive eHealth data must be handled responsibly to enable the immense benefits of these technologies to be realized for society. The focus on patient-centered research and the development of personalized dental medicine have the potential to improve individual and public health, as well as clarify the interconnectivity of disease in a more cost-effective way.

Entities:  

Keywords:  artificial intelligence; augmented reality; digital transformation; personalized dental medicine; rapid prototyping; teledentistry

Year:  2020        PMID: 33322997     DOI: 10.1177/0022034520978774

Source DB:  PubMed          Journal:  J Dent Res        ISSN: 0022-0345            Impact factor:   6.116


  13 in total

1.  The crucial role of dentomaxillofacial radiology for AI research in dental medicine - why it's time for our specialty to lead the way!

Authors:  Michael M Bornstein
Journal:  Dentomaxillofac Radiol       Date:  2022-01-01       Impact factor: 2.419

Review 2.  Artificial intelligence in medico-dental diagnostics of the face: a narrative review of opportunities and challenges.

Authors:  Raphael Patcas; Michael M Bornstein; Marc A Schätzle; Radu Timofte
Journal:  Clin Oral Investig       Date:  2022-09-24       Impact factor: 3.606

3.  Gingival shape analysis using surface curvature estimation of the intraoral scans.

Authors:  Marko Kuralt; Alja Cmok Kučič; Rok Gašperšič; Jan Grošelj; Marjeta Knez; Aleš Fidler
Journal:  BMC Oral Health       Date:  2022-07-12       Impact factor: 3.747

Review 4.  Potential and impact of artificial intelligence algorithms in dento-maxillofacial radiology.

Authors:  Kuo Feng Hung; Qi Yong H Ai; Yiu Yan Leung; Andy Wai Kan Yeung
Journal:  Clin Oral Investig       Date:  2022-04-19       Impact factor: 3.606

5.  Integration of imaging modalities in digital dental workflows - possibilities, limitations, and potential future developments.

Authors:  Sohaib Shujaat; Michael M Bornstein; Jeffery B Price; Reinhilde Jacobs
Journal:  Dentomaxillofac Radiol       Date:  2021-09-14       Impact factor: 3.525

6.  An Automated Machine Learning Classifier for Early Childhood Caries.

Authors:  Deepti S Karhade; Jeff Roach; Poojan Shrestha; Miguel A Simancas-Pallares; Jeannie Ginnis; Zachary J S Burk; Apoena A Ribeiro; Hunyong Cho; Di Wu; Kimon Divaris
Journal:  Pediatr Dent       Date:  2021-05-15       Impact factor: 1.874

7.  Current applications and development of artificial intelligence for digital dental radiography.

Authors:  Ramadhan Hardani Putra; Chiaki Doi; Nobuhiro Yoda; Eha Renwi Astuti; Keiichi Sasaki
Journal:  Dentomaxillofac Radiol       Date:  2021-07-08       Impact factor: 2.419

Review 8.  Personalized workflows in reconstructive dentistry-current possibilities and future opportunities.

Authors:  Tim Joda; Nicola U Zitzmann
Journal:  Clin Oral Investig       Date:  2022-03-30       Impact factor: 3.606

9.  Knowledge and Associated Factors about Rare Diseases among Dentists in Israel: A Cross Sectional Survey.

Authors:  Eitan Mijiritsky; Michal Dekel-Steinkeller; Oren Peleg; Shlomi Kleinman; Clariel Ianculovici; Amir Shuster; Shimrit Arbel; Menachem Ben-Ezra; Maayan Shacham
Journal:  Int J Environ Res Public Health       Date:  2021-06-25       Impact factor: 3.390

Review 10.  Selected Spectroscopic Techniques for Surface Analysis of Dental Materials: A Narrative Review.

Authors:  Katarzyna Kaczmarek; Andrzej Leniart; Barbara Lapinska; Slawomira Skrzypek; Monika Lukomska-Szymanska
Journal:  Materials (Basel)       Date:  2021-05-17       Impact factor: 3.623

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