Awareness About Artificial Intelligence Among Dental Practitioners And Dental Students

A Cross Sectional Online Survey

Authors

DOI:

https://doi.org/10.55995/j-cpi.2024013

Keywords:

artificial intelligence, chatbots, dental caries, radiographic diagnosis, teledentistry, ChatGPT

Abstract

 

BACKGROUND

Artificial intelligence (AI) is defined as acquisition of intelligence by computers or machines to perform complex tasks that generally require human intelligence. Nowadays usage of AI in various fields is appreciated because of its time effectiveness and less laborious.In dentistry, AI has been trending, specifically in diagnostic imaging and early detection of diseases,benefiting both dental graduates and practitioners.

AIM

 The main aim is to assess the awareness of Artificial intelligence as an effective tool among dental trainees and dental practitioners. 

MATERIALS AND METHOD

An online cross-sectional survey was conducted among dental trainees and dental practitioners in various institutions. A Google questionnaire form was developed and circulated to assess participant’s awareness about Artificial intelligence in dentistry. Data were collected in Microsoft excel and statistical analysis were performed. 

RESULTS

More than 60% of the participants showed confidence about their familiarity towards AI in dentistry (p<0.01197). Among those, 60.5% answered that they are well aware of ChatGPT and 28% of them to Microsoft Bing (p<0.04395). 53% answered that machine learning is an important form of AI (p<0.00216). Over the advantages of AI, 43% believed AI can improve diagnostics, access to disease screening, cost effectiveness, reduced treatment time (p<0.0001) and 53% agreed that AI can be useful in day-to-day dental practices (p<0.0001). 

CONCLUSION

The present study shows that awareness of AI among the dental fraternity is satisfactory. The field of AI is emerging rapidly and various other new applications in AI are being utilised. AI could act as a valuable tool in supporting clinicians delivering effective dental care and supplementing education for dental trainees. To enhance the future of AI in dentistry, the present curriculum needs to be approachable enough and various hands-on-training are essential. 

KEYWORDS:artificial intelligence, chatbots, dental caries, radiographic diagnosis, teledentistry.

 

 

 

Author Biographies

Naveen Gokul R, Priyadarshini Dental College and Hospital

Dental Intern, Department of Prosthodontics

Murugesan K, Priyadarshini Dental College and Hospital

Professor & Head Dept. of Prosthodontics

Sheela Kumari K, Priyadarshini Dental College and Hospital

Reader, Dept of Prosthodontics

Priya Mohite V, Priyadarshini Dental College and Hospital

Intern

References

1. McCarthy, J. (1989). Artificial Intelligence, Logic and Formalizing Common Sense. In: Thomason, R.H. (eds) Philosophical Logic and Artificial Intelligence. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-2448-2_6

2. 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 Mar 25;21(3):e12422. doi: 10.2196/12422. PMID: 30907742; PMCID: PMC6452288.

3. Ognjanovic I. Artificial Intelligence in Healthcare. Stud Health Technol Inform. 2020 Sep 25;274:189-205. doi: 10.3233/SHTI200677. PMID: 32990674.

4. 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 Sep;50(3):193-198. doi: 10.5624/isd.2020.50.3.193. Epub 2020 Sep 16. PMID: 33005576; PMCID: PMC7506091.

5. Pekiner, Filiz & Keser, Gaye. (2021). Attitudes, Perceptions and Knowledge Regarding the Future of Artificial Intelligence in Oral Radiology Among a Group of Dental Students in Turkey: A Survey. Clinical and Experimental Health Sciences. 11. 637-641. 10.33808/clinexphealthsci.928246.

6. Hwang, Jae-Joon & Jung, Yun-Hoa & Cho, Bong-Hae & Heo, Min-Suk. (2019). An overview of deep learning in the field of dentistry. Imaging Science in Dentistry. 49. 1. 10.5624/isd.2019.49.1.1.

7. Haleem, Abid & Javaid, Mohd & Haleem Khan, Ibrahim. (2019). Artificial Intelligence (AI) applications in Dentistry. Current Medicine Research and Practice. 10. 10.1016/j.cmrp.2019.12.002.

8. Choudhary A, Jaral S, Malik A, Kaul R, Sharma A, Assessment of knowledge and awareness of artificial intelligence and its uses in dentistry among dental students in Jammu and Kashmir: A questionnaire based survey. IP Indian J Conserv Endod. 2023;8(4):210-21.

9. Ranjana V., R. Gayathri, V. Vishnu Priya, S. Kavitha. (2021). Awareness on Application of Artificial Intelligence in Medicine among Dental Students - A Survey. Annals of the Romanian Society for Cell Biology, 1137–1153. Retrieved from https://annalsofrscb.ro/index.php/journal/article/view/1568

10. Asmatahasin M, Pratap KV, Padma TM, Kalyan VS, Kumar VS. Attitude and perception of dental students towards artificial intelligence. Indian J Basic Appl Med Res 2021;10:305–314.

11. Yüzba??o?lu E. Attitudes and perceptions of dental students towards artificial intelligence. J Dent Educ. 2021 Jan;85(1):60-68. doi: 10.1002/jdd.12385. Epub 2020 Aug 26. PMID: 32851649.

12. Khanagar, Sanjeev & Alkathiri, Mohammad & Alhamlan, Rakan & Alyami, Khalid & Alhejazi, Majed & Alghamdi, Ahmed. (2021). Knowledge, attitudes, and perceptions of dental students towards artificial intelligence in Riyadh, Saudi Arabia. 25. 1857-1867.

13. Kalaimani G, B S, Chockalingam RM, Karthick P. Evaluation of Knowledge, Attitude, and Practice (KAP) of Artificial Intelligence Among Dentists and Dental Students: A Cross-Sectional Online Survey. Cureus. 2023 Sep 4;15(9):e44656. doi: 10.7759/cureus.44656. PMID: 37799215; PMCID: PMC10549783.

14. Davenport, Thomas. (2018). The AI Advantage: How to Put the Artificial Intelligence Revolution to Work. 10.7551/mitpress/11781.001.0001.

15. Abe S, Noguchi N, Matsuka Y, Shinohara C, Kimura T, Oka K, Okura K, Rodis OMM, Kawano F. Educational effects using a robot patient simulation system for development of clinical attitude. Eur J Dent Educ. 2018 Aug;22(3):e327-e336. doi: 10.1111/eje.12298. Epub 2017 Nov 1. PMID: 29091328.

16. Otani T, Raigrodski AJ, Mancl L, Kanuma I, Rosen J. In vitro evaluation of accuracy and precision of automated robotic tooth preparation system for porcelain laminate veneers. J Prosthet Dent. 2015 Aug;114(2):229-35. doi: 10.1016/j.prosdent.2015.02.021. Epub 2015 May 5. PMID: 25957239.

17. Tai MC. The impact of artificial intelligence on human society and bioethics. Tzu Chi Med J. 2020 Aug 14;32(4):339-343. doi: 10.4103/tcmj.tcmj_71_20. PMID: 33163378; PMCID: PMC7605294.

18. Zhai X. ChatGPT user experience: Implications for education. SSRN Electronic Journal. 2022. https://doi.org/10.2139/ssrn.4312418.

19. Khanagar SB, Alfouzan K, Awawdeh M, Alkadi L, Albalawi F, Alfadley A. Application and Performance of Artificial Intelligence Technology in Detection, Diagnosis and Prediction of Dental Caries (DC)—A Systematic Review. Diagnostics. 2022;12(5):1083. https://doi.org/10.3390/diagnostics12051083.

20. Sajjad, Isma & Abidi, Yawar & Baig, Nabeel & Akhlak, Humera & Lone, Maham & Ahned, Jamshed. (2021). Awareness and Perception of Dentists Regarding Role and Future of Artificial Intelligence in Dentistry. Pakistan Journal of Medical and Health Sciences. 15. 3555-3558. 10.53350/pjmhs2115123555.

21. Aboalshamat, Khalid. (2022). Perception and Utilization of Artificial Intelligence (AI) among Dental Professionals in Saudi Arabia. The Open Dentistry Journal. 16. 10.2174/18742106-v16-e2208110.

22. McCradden MD, Baba A, Saha A, Ahmad S, Boparai K, Fadaiefard P, Cusimano MD. Ethical concerns around use of artificial intelligence in health care research from the perspective of patients with meningioma, caregivers and health care providers: a qualitative study. CMAJ Open. 2020 Feb 18;8(1):E90-E95. doi: 10.9778/cmajo.20190151. PMID: 32071143; PMCID: PMC7028163.

23. Murdoch TB, Detsky AS. The inevitable application of big data to health care. JAMA. 2013 Apr 3;309(13):1351-2. doi: 10.1001/jama.2013.393. PMID: 23549579.

24. Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25:44–56. https://doi.org/10.1038/s41591-018-0300-7.

25. Suárez A, Jiménez J, Llorente de Pedro M, Andreu-Vázquez C, Díaz-Flores García V, Gómez Sánchez M, Freire Y. Beyond the Scalpel: Assessing ChatGPT's potential as an auxiliary intelligent virtual assistant in oral surgery. Comput Struct Biotechnol J. 2023 Dec 6;24:46-52. doi: 10.1016/j.csbj.2023.11.058. PMID: 38162955; PMCID: PMC10755495.

26. Dashti M, Londono J, Ghasemi S, Khurshid Z, Khosraviani F, Moghaddasi N, Zafar MS, Hefzi D. Attitudes, knowledge, and perceptions of dentists and dental students toward artificial intelligence: a systematic review. J Taibah Univ Med Sci. 2024 Jan 12;19(2):327-337. doi: 10.1016/j.jtumed.2023.12.010. PMID: 38293587; PMCID: PMC10825554.

Downloads

Published

2024-10-18

How to Cite

Naveen Gokul R, K, M., K, S. K., & V, P. M. (2024). Awareness About Artificial Intelligence Among Dental Practitioners And Dental Students: A Cross Sectional Online Survey. Journal of Clinical Prosthodontics and Implantology, 6(2), 60–66. https://doi.org/10.55995/j-cpi.2024013

Issue

Section

Original Research