Transforming Health and Dental Care with Artificial Intelligence: Exploring Opinions from Dentists of Gujarat

Main Article Content

Megha Patel
Chhaya Patel
Rohan Bhatt
Saumya Goyal
Disha Makwani
Foram Patel

Abstract

Background: Artificial intelligence (AI) is at the foundation of recent technological advancements. It has found significant applicability in today's health-care systems around the world. A machine capable of physical manipulation and powered by an intelligent algorithm would be the ideal dental assistant for executing technique-sensitive treatments in a time efficient and affable manner.
Aim: To assess the knowledge and awareness of Artificial Intelligence in healthcare and its applicability in dentistry among General and Specialist dentists of Gujarat.
Methodology: An online survey was conducted among 1000 randomly selected dental professionals registered in Gujarat State Dental Council. It consisted of 15 closed-ended validated questions. The survey gathered information regarding participants’ recognition of AI in Healthcare, their opinions on its applications, future implications, risk and barriers in the Indian Healthcare system. A gentle reminder was sent twice and after adequate responses, descriptive and inferential statistical analysis were carried out using SPSS V20 software.
Results: The concept of AI was familiar amongst 75.78% respondents. Majority of BDS and MDS felt that AI can be best used to prevent oral cancer however pediatric dentists opted AI for evaluating risk of caries (p=0.000). The use of AI as superior means was reported by Pediatric Dentists (37.5%) in assessing root anatomy and locating orifices while BDS and MDS selected AI in designing prosthesis. Chances of injuries and errors was selected as first risk by 67.8% and cost effectiveness and lack of infrastructure as the most common limiting factor (36.46%) by the studied sample.

Conclusion: Majority of the dentists were aware about the potential benefits of applying AI as a preventive, diagnostic and treatment tool in dental practice. Despite its numerous benefits, some of the most pressing uncertainties limiting its use were chances of errors and economic considerations.

Article Details

How to Cite
Megha Patel, Chhaya Patel, Rohan Bhatt, Saumya Goyal, Disha Makwani, & Foram Patel. (2023). Transforming Health and Dental Care with Artificial Intelligence: Exploring Opinions from Dentists of Gujarat. Journal of Coastal Life Medicine, 11(2), 459–472. Retrieved from https://www.jclmm.com/index.php/journal/article/view/1036
Section
Articles

References

A. Barr, E. A. Feigenbaum, and P. R. Cohen, The Handbook of Artificial Intelligence, vol. 1-3, William Kaufmann Inc., Los Altos, CA, 1981.

F. Schwendicke, W. Samek, and J. Krois, “Artificial intelligence in dentistry: chances and challenges,” Journal of Dental Research.2020; 99(7):769–774.

Miotto R, Wang F, Wang S, Jiang X, Dudley JT. Deep learning for healthcare: review, opportunities and challenges. Brief Bioinform. 2018;19(6):1236-1246.

Le Nguyen, T., & Do, T.T. Artificial Intelligence in Healthcare: A New Technology Benefit for Both Patients and Doctors. 2019 Portland International Conference on Management of Engineering and Technology (PICMET), 1-15.

Yuzbasioglu, Emir. Attitudes and perceptions of dental students towards artificial intelligence. Journal of dental education. 2020;85:10.1002/jdd.12385.

Ramesh AN, Kambhampati C, Monson JR, Drew PJ. Artificial intelligence in medicine. Ann R Coll Surg Engl. 2004 Sep;86(5):334-8.

Shortliffe EH. Artificial Intelligence in Medicine: Weighing the Accomplishments, Hype, and Promise. Yearb Med Inform. 2019 Aug;28(1):257-262.

Basu K, Sinha R, Ong A, Basu T. Artificial Intelligence: How is It Changing Medical Sciences and Its Future? Indian J Dermatol. 2020 Sep-Oct;65(5):365-370.

Oh S, Kim JH, Choi SW, Lee HJ, Hong J, Kwon SH. Physician confidence in artificial intelligence: an online mobile survey. J Med Internet Res 2019; 21: e12422.

Tran BX, Vu GT, Ha GH, Vuong QH, Ho MT, Vuong TT, La VP, Ho MT, Nghiem KP, Nguyen HLT, Latkin CA, Tam WWS, Cheung NM, Nguyen HT, Ho CSH, Ho RCM. Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study. J Clin Med. 2019 Mar 14;8(3):360.

Romanini J, Kanomata LM, De Figueiredo RM. Artificial Intelligence: Aid in early oral cancer diagnosis at the dental clinic. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. 2020 Sep 1;130(3):e282-3.

Park, Y.-H.; Kim, S.-H.; Choi, Y.-Y. Prediction Models of Early Childhood Caries Based on Machine Learning Algorithms. Int. J. Environ. Res. Public Health 2021, 18, 8613. https://doi.org/10.3390/ijerph18168613.

Rekow ED. Digital dentistry: The new state of the art - Is it disruptive or destructive? Dent Mater. 2020 Jan;36(1):9-24.

14)Kuwada C, Ariji Y, Fukuda M, Kise Y, Fujita H, Katsumata A, Ariji E. Deep learning systems for detecting and classifying the presence of impacted supernumerary teeth in the maxillary incisor region on panoramic radiographs. Oral Surg Oral Med Oral Pathol Oral Radiol. 2020 Oct;130(4):464-469.

A. G. Cantu, S. Gehrung, J. Krois et al., “Detecting caries lesions of different radiographic extension on bitewings using deep learning,” Journal of Dentistry.2020;100, article 103425.

M. Sonam and M. Prabhakaran. Logit-based artificial bee colony optimization (LB-ABC) approach for dental caries classification using a back propagation neural network. Integrated Intelligent Computing, Communication and Security 2019;771:79–91.

F. C. Setzer, K. J. Shi, Z. Zhang et al., “Artificial intelligence for the computer-aided detection of periapical lesions in cone beam computed tomographic images,” Journal of Endodontia.2020;46,(7):987–993.

Gujral, G., Shivarama, J., and Mariappan, M. Artificial Intelligence (AI) and data science for developing intelligent health informatics systems. Proceedings of the National Conference on AI in HI & VR, SHSS-TISS. Mumbai, 2019, 30-31 Aug.

Murali, A., and PK, J. India’s bid to harness AI for healthcare. Factor Daily, April 4,2019.

Paul, Yesha, Elonnai Hickok, Amber Sinha, Udbhav Tiwari, and Pranav M Bidare.. Artificial Intelligence in the Healthcare Industry in India. 2018;45.

Drevenstedt GL, McDonald JC, Drevenstedt LW. The role of voice-activated technology in today's dental practice. J Am Dent Assoc. 2005 Feb;136(2):157-61.