The study and design of intelligent agent in dentistry
Where are we lacking?
Keywords:
artificial Intelligence, cross-sectional study, dental professionals, dentistry, KAP study, questionnaireAbstract
Introduction: Artificial Intelligence is a branch term for all the developing systems, furnished with human intelligence. Even though Artificial Intelligence can be useful in field of dentistry and can be of help in dental office but is not used extensively. A gap exists in the knowledge regarding application of Artificial Intelligence in Dental offices. Therefore, the present study was carried to determine the factors associated with knowledge and perception regarding use of Artificial Intelligence in dentistry among the dental professionals. Methodology: A cross sectional study was carried on 362 dental professionals of North India. A non-probability Snowball sampling was used. A The face validity and content validity was done for forming the questionnaire of the present study. The final questionnaire consisted of 13 variable, structured, close-ended questionnaire in English of which 7 were knowledge-based, 4 were based on attitude and 2 based on practice. SPSS version20 was used for statistical Analysis. Frequency, percentage was calculated. Chi-Square test was applied to determine factors associated with knowledge attitude and practice of Artificial Intelligence. A spearman’s correlation and Multiple logistic regression was run to assess the corelation between knowledge and practice of AI by the dentist. Statistical significance was kept at p value<0.05.
Downloads
References
Schwendicke F, Samek W, Krois J. Artificial Intelligence in Dentistry: Chances and Challenges. Journal of Dental Research. 2020;99(7):769-774. doi:10.1177/0022034520915714
Dr Sunali S Khanna , Prita A Dhaimade. Artificial Intelligence: Transforming Dentistry Today. Indian Journal of Basic and Applied Medical Research; June 2017: Vol.-6, Issue- 3, P. 161-167
Tejaswi Katne, Alekhya Kanaparthi, Srikanth Gotoor, Srikar Muppirala, Ramaraju Devaraju, Ramlal Gantala. Artificial intelligence: demystifying dentistry – the future and beyond. International Journal of Contemporary Medicine Surgery and Radiology. 2019;4(4):D6-D9.
Bindushree V, Sameen R J, Vasudevan V, Shrihari T G, Devaraju D, Mathew NS. Artificial intelligence: In modern dentistry. J Dent Res Rev 2020;7:27-31
Rashmi J Kurup. Dentistry and Artificial Intelligence. Acta Scientific Dental Sciences. 2020; 4(10): 26-32
Schwendicke F, Samek W, Krois J. Artificial Intelligence in Dentistry: Chances and Challenges. Journal of Dental Research. 2020;99(7):769-774. doi:10.1177/0022034520915714
Abouzeid HL, Chaturvedi S, Abdelaziz KM, Alzahrani FA, AlQarni AAS, Alqahtani NM. Role of Robotics and Artificial Intelligence in Oral Health and Preventive Dentistry - Knowledge, Perception and Attitude of Dentists. Oral Health Prev Dent [Internet]. 2021;19(1):353–63.
Sur J, Bose S, Khan F, Dewangan D, Sawriya E, Roul A. Knowledge, attitudes, and perceptions regarding the future of artificial intelligence in oral radiology in India: A survey. Imaging Sci Dent. 2020;50(3):193-198. doi:10.5624/isd.2020.50.3.193.
Yu KH, Kohane IS. Framing the challenges of artificial intelli-gence in medicine. BMJ Qual Saf.
Khanagar S, Alkathiri M, Alhamlan R, Alyami K, Alhejazi M, Alghamdi A. Knowledge, attitudes, and perceptions of dental students towards artificial intelligence in Riyadh, Saudi Arabia. Medical Science, 2021, 25(114), 1857-1867.
Seram, T., Batra, M., Gijwani, D., Chauhan, K., Jaggi, M., & Kumari, N. (2021). Attitude and perception of dental students towards artificial intelligence. University Journal Of Dental Sciences, 7(3).
Mohammed Asmatahasin1, K.V.N.R. Pratap2, T. Madhavi Padma3, V. Siva Kalyan4, V. Srujan Kumar. Attitude and Perception of Dental Students towards Artificial Intelligence. Indian Journal of Basic and Applied Medical Research; June 2021: Vol.-10, Issue- 3, P. 305 - 314
Published
How to Cite
Issue
Section
Copyright (c) 2022 International journal of health sciences

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the International Journal of Health Sciences (IJHS) are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJHS right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.
Articles published in IJHS can be copied, communicated and shared in their published form for non-commercial purposes provided full attribution is given to the author and the journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
This copyright notice applies to articles published in IJHS volumes 4 onwards. Please read about the copyright notices for previous volumes under Journal History.








