Literature DB >> 36110704

Analysis of Advances in Research Trends in Robotic and Digital Dentistry: An Original Research.

P Ravi Kumar1, Kolla Venkata Ravindranath2, V Srilatha3, Mohammed A Alobaoid4, Manisha Mangesh Kulkarni5, Tony Mathew6, Heena Dixit Tiwari7.   

Abstract

Introduction: The world has been transformed after invention of robotics, digitalization, and artificial intelligence. Their application in the medical field is well recorded; however, their application in dentistry is still being recognized. Hence, in our study, we aimed to analyze the advances in research trends in the digital and the robotics specifically to the dental fields. Material and
Methods: We conducted a search for articles that recorded the use of robots, digitalization, and artificial intelligence in dentistry, specifically in endodontics. We piloted a questionnaire study to evaluate the awareness and application of these technologies by the clinicians. The results are presented as various applications of these technologies and the number of the articles for various terminologies. The application of these technologies was compared between the clinicians using ANOVA, with P < 0.05 being significant.
Results: We observed a significant difference between the clinicians regarding the application of these technologies and lower awareness was noted. None of the participants used these technologies in practice. Of the total 20 articles that we had finalized, we observed that these technologies helped in studying the various pathologies and structures that were unviewed previously, as well as treatments, prognosis, and outcomes. Conclusions: There is a low awareness of these advanced technologies and application in routine practice. These technologies show greater precision and accuracy. However, the application of these in daily clinical practice and the economy are to be evaluated. Copyright:
© 2022 Journal of Pharmacy and Bioallied Sciences.

Entities:  

Keywords:  Artificial Intelligence; dental; digital; robotics

Year:  2022        PMID: 36110704      PMCID: PMC9469263          DOI: 10.4103/jpbs.jpbs_59_22

Source DB:  PubMed          Journal:  J Pharm Bioallied Sci        ISSN: 0975-7406


  10 in total

1.  Artificial intelligence for detection of periapical lesions on intraoral radiographs: Comparison between convolutional neural networks and human observers.

Authors:  Ruben Pauwels; Danieli Moura Brasil; Mayra Cristina Yamasaki; Reinhilde Jacobs; Hilde Bosmans; Deborah Queiroz Freitas; Francisco Haiter-Neto
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol       Date:  2021-01-22

2.  Diagnostic accuracy of cone beam computed tomography used for assessment of apical periodontitis: an ex vivo histopathological study on human cadavers.

Authors:  C Kruse; R Spin-Neto; D C Evar Kraft; M Vaeth; L-L Kirkevang
Journal:  Int Endod J       Date:  2018-10-25       Impact factor: 5.264

3.  Application of Artificial Intelligence in Dentistry.

Authors:  T Shan; F R Tay; L Gu
Journal:  J Dent Res       Date:  2020-10-29       Impact factor: 6.116

Review 4.  Artificial intelligence and robotic surgery: current perspective and future directions.

Authors:  Mahendra Bhandari; Trevor Zeffiro; Madhu Reddiboina
Journal:  Curr Opin Urol       Date:  2020-01       Impact factor: 2.309

5.  Dentronics: Towards robotics and artificial intelligence in dentistry.

Authors:  Jasmin Grischke; Lars Johannsmeier; Lukas Eich; Leif Griga; Sami Haddadin
Journal:  Dent Mater       Date:  2020-04-27       Impact factor: 5.304

6.  Artificial Intelligence for the Computer-aided Detection of Periapical Lesions in Cone-beam Computed Tomographic Images.

Authors:  Frank C Setzer; Katherine J Shi; Zhiyang Zhang; Hao Yan; Hyunsoo Yoon; Mel Mupparapu; Jing Li
Journal:  J Endod       Date:  2020-05-08       Impact factor: 4.171

7.  Automatic quantification framework to detect cracks in teeth.

Authors:  Hina Shah; Pablo Hernandez; Francois Budin; Deepak Chittajallu; Jean-Baptiste Vimort; Rick Walters; André Mol; Asma Khan; Beatriz Paniagua
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-03-12

Review 8.  Artificial Intelligence in Endodontics: Current Applications and Future Directions.

Authors:  Venkateshbabu Nagendrababu; Anita Aminoshariae; Jim Kulild
Journal:  J Endod       Date:  2021-06-10       Impact factor: 4.171

9.  Overview of artificial intelligence in medicine.

Authors:  Paras Malik; Monika Pathania; Vyas Kumar Rathaur
Journal:  J Family Med Prim Care       Date:  2019-07

10.  Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs.

Authors:  Michael G Endres; Florian Hillen; Marios Salloumis; Ahmad R Sedaghat; Stefan M Niehues; Olivia Quatela; Henning Hanken; Ralf Smeets; Benedicta Beck-Broichsitter; Carsten Rendenbach; Karim Lakhani; Max Heiland; Robert A Gaudin
Journal:  Diagnostics (Basel)       Date:  2020-06-24
  10 in total

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