Knowledge, attitude, and perception/practice towards artificial intelligence among dental students and dental professionals - a systematic review

Rokesh A.; Hema S. Budida; Aparna S.; Madan Kumar P. D.

doi:10.18203/2394-6040.ijcmph20243310

Authors

Rokesh A. Department of Public Health Dentistry, Ragas Dental College and Hospital, Chennai, Tamil Nadu, India
Hema S. Budida Department of Public Health Dentistry, Ragas Dental College and Hospital, Chennai, Tamil Nadu, India
Aparna S. Department of Public Health Dentistry, Ragas Dental College and Hospital, Chennai, Tamil Nadu, India
Madan Kumar P. D. Department of Public Health Dentistry, Ragas Dental College and Hospital, Chennai, Tamil Nadu, India

DOI:

https://doi.org/10.18203/2394-6040.ijcmph20243310

Keywords:

Artificial intelligence, Attitude, Knowledge, Dental students, Dental professionals, Perception

Abstract

Artificial intelligence (AI) is a broad term encompassing advanced technologies that aim to mimic human intelligence in computer hardware and software, achieving human-level performance. By studying the attitudes and practices of dental professionals and students, we can better integrate AI into the dental field. Hence, the aim is to examine the knowledge, attitudes, and perceptions/practices towards AI among dental students and dental professionals. This study protocol was based on preferred reporting items for overviews of reviews (PRIOR) guidelines. A broad electronic search was carried out in the following databases, such as PubMed, Scopus, Google Scholar, Cochrane database of systematic reviews, and Trip database to find related studies and a total of 28 articles were selected for the systematic review. In this review, the average knowledge percentage among dental students was around 56.9, while dental professionals demonstrated a higher average percentage of 66.42. 82% of postgraduate students showed greater openness to integrating AI at an advanced level of dental education. The review suggests a way for dental students and dental professionals to improve their artificial intelligence understanding and skills.

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References

Karan-Romero M, Salazar-Gamarra RE, Leon-Rios XA. Evaluation of Attitudes and Perceptions in Students about the Use of Artificial Intelligence in Dentistry. Dentistry J. 2023;11(5):125.

Murali S, Bagewadi A, Kumar LS, Fernandes A, Jayapriya T, Panwar A, et al. Knowledge, attitude, and perception of dentists regarding the role of Artificial Intelligence and its applications in Oral Medicine and Radiology: a cross-sectional study. J Oral Med Oral Surg. 2023;29(2):22.

Al-Qerem W, Eberhardt J, Jarab A, Al Bawab AQ, Hammad A, Alasmari F, Alazab B, Husein DA, Alazab J, Al-Beool S. Exploring knowledge, attitudes, and practices towards artificial intelligence among health professions' students in Jordan. BMC Med Inform Decis Mak. 2023;23(1):288.

Kalaimani G, Sivapathasundharam B, Chockalingam RM, Karthick P. Evaluation of Knowledge, Attitude, and Practice (KAP) of artificial intelligence among dentists and dental students: a Cross-Sectional online survey. Curēus. 2023;15(9):e44656.

Hamd ZY, Elshami W, Kawas SA, Aljuaid H, Abuzaid MM. A closer look at the current knowledge and prospects of artificial intelligence integration in dentistry practice: A cross-sectional study. Heliyon. 2023;9(6):e17089.

AlSamhori JF, AlSamhori ARF, Shnekat HH, AlSamhori AF, Abdallat S. Attitude, Awareness, and Understanding of Artificial Intelligence AI among Medical and Dental Students in Jordan: A Cross-Sectional Study. Int J Med Stud. 2023;11:S93.

Aboalshamat K, Alhuzali R, Alalyani A, Alsharif S, Qadhi H, Almatrafi R, et al. Medical and Dental Professionals Readiness for Artificial Intelligence for Saudi Arabia Vision 2030. Int J Pharm Res All Sci. 2022;11(4):52-9.

Abouzeid HL, Abouzeid HL, Abouzeid HL, Abouzeid HL, Abouzeid HL, Abouzeid HL. Role of robotics and artificial intelligence in oral health and preventive dentistry - Knowledge, perception and attitude of dentists. Oral Health Prev Dentistry. 2021;19:353-63.

Eschert T, Schwendicke F, Krois J, Bohner L, Vinayahalingam S, Hanisch M. A survey on the use of artificial intelligence by clinicians in dentistry and oral and maxillofacial surgery. Medicina. 2022;58(8):1059.

Keser G, Peki̇Ner FMN. Attitudes, perceptions and knowledge regarding the future of artificial intelligence in oral radiology among a group of dental students in Turkey: A survey. Clin Exp Health Sci. 2021;11(4):637-41.

Indu M, Shankar VG, Cherian LM, Krishna R, Paul S, Sathyan P. Assessment of knowledge, attitude, and practice regarding artificial intelligence in histopathology: A cross-sectional study among oral pathologists in India. Saud J Oral Sci. 2022;9(3):157-62.

Chawla RL, Gadge NP, Ronad S, Waghmare A, Patil A, Deshmukh G. Knowledge, Attitude and Perception Regarding Artificial Intelligence in Periodontology: A Questionnaire Study. Cureus. 2023;15(11):e48309.

Roganović J, Radenković M, Miličić B. Responsible Use of Artificial Intelligence in Dentistry: Survey on Dentists’ and Final-Year Undergraduates’ Perspectives. Healthcare. 2023;11(10):1480.

Seram T, Batra M, Gijwani D, Chauhan K, Jaggi M, Kumari N. Attitude and perception of dental students towards artificial intelligence. Univ J Dent Sci. 2021;7(3).

Sajjad I, Abidi YA, Baig N, Akhlak H, Lone MM, Ahmed J. Awareness and perception of dentists regarding role and future of artificial intelligence in dentistry. Pak J Med Health Sci. 2021;15(12):3555-8.

Vamshi R, Sandeep H. Assessment of knowledge and awareness of artificial intelligence and its uses in dentistry among dental students. J Pharm Negative Results. 2022;13(04).

Singh N, Pandey A, Tikku AP, Verma P, Singh BP. Attitude, perception and barriers of dental professionals towards artificial intelligence. J Oral Biol Craniofac Res. 2023;13(5):584-8.

Asmatahasin M, Pratap KVNR, Padma TM, Kalyan VS, Kumar VS. Attitude and Perception of Dental Students towards Artificial Intelligence. Indian J Basic Appl Med Res. 2021;10(3):305-14.

Elhijazi M, Benyahya I. Artificial intelligence in dentistry: Knowledge and perceptions of Moroccan students. Health Sciences. Available at: https://publishing.universitypress.ma/health-sciences/vol4/iss1/12. Accessed on 12 August 2024.

Ekici O. Artificial Intelligence in Oral and Maxillofacial Surgery: A Survey on Knowledge and Attitudes of Intern Dental Students. J Stomatol Oral Maxillofac Surg. 2023;4653188.

Fernandes S, Bafna Y, Patel C, Parmar D. Knowledge Attitude and Practice of Dental Students Towards Artificial Intelligence (AI): A Questionnaire based Survey. J Xidian Univ. 2022;16(8).

Pauwels R, Del Rey YC. Attitude of Brazilian dentists and dental students regarding the future role of artificial intelligence in oral radiology: a multicenter survey. Dentomaxillofac Radiol. 2021;50(5):20200461.

Bisdas S, Topriceanu CC, Zakrzewska Z, Irimia AV, Shakallis L, Subhash J, et al. Artificial Intelligence in Medicine: A multinational Multi-Center survey on the medical and dental students’ perception. Front Public Health. 2021;9:795284.

Kalburgi NB, Koregol AC, Gore SS, Hannahson P, Sulakod K. A questionnaire study on Artificial intelligence in periodontics. Int J Epidemiol Health Sci. 2023;4(10):1-7.

Busch F, Hoffmann L, Truhn D, Ortiz-Prado E, Makowski MR, Bressem KK, et al. Medical students’ perceptions towards artificial intelligence in education and practice: A multinational, multicenter cross-sectional study. medRxiv (Cold Spring Harbor Laboratory). 2023;10.

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. Med Sci. 2021;25(114):1857-67.

Thulasi MS, Sowjanya B, Sreenivasulu K, Kumar MR. Knowledge attitude and practices of dental students and dental practitioners towards artificial intelligence. Int J Intelligent Systems Applications Engineer. 2022;10(1S):248-53.

Baby D, John L, Pia JC, Sreedevi PV, Pattnaik SJ, Varkey A, et al. Role of robotics and artificial intelligence in oral health education. Knowledge, perception and attitude of dentists in India. J Educ Health Promot. 2023;12:384.

Ding H, Wu J, Zhao W, Matinlinna JP, Burrow MF, Tsoi JKH. Artificial intelligence in dentistry—A review. Front Dent Med. 2023;4.

Huang C, Wang J, Wang S, Zhang Y. A review of deep learning in dentistry. Neurocomputing. 2023;554:126629.

Xu Y, Jiang Z, Ting DSW, Kow AWC, Bello F, Car J, et al. Medical education and physician training in the era of artificial intelligence. Singapore Med J. 2024;65(3):159-66.

Thurzo A, Strunga M, Urban R, Surovková J, Afrashtehfar KI. Impact of Artificial Intelligence on Dental Education: A Review and Guide for curriculum update. Educ Sci. 2023;13(2):150.

Kim CS, Samaniego CS, Melo SLS, Brachvogel WA, Baskaran K, Rulli D. Artificial intelligence (A.I.) in dental curricula: Ethics and responsible integration. J Dent Educ. 2023;87(11):1570-3.

Jain R, Mahajan A, Badyal D. Faculty development programs in dentistry: The need and the way forward!! Chrismed J Health Res. 2021;8(4):223.

Sharma D, Malik G, Koshy G, Sharma V. Artifical intelligence: need to reboot dental education. Univ J Dent Sci. 2021;7(2):138-42.

Alam MK, Alftaikhah SAA, Issrani R, Ronsivalle V, Lo Giudice A, Cicciù M, et al. Applications of artificial intelligence in the utilisation of imaging modalities in dentistry: A systematic review and meta-analysis of in-vitro studies. Heliyon. 2024;10(3):e24221.

Tiwari A, Kumar A, Jain S, Dhull KS, Sajjanar A, Puthenkandathil R, et al. Implications of CHATGPT in Public Health Dentistry: A Systematic review. Curēus. 2023;15(6):e40367.

Ayhan B, Ayan E, Bayraktar Y. A novel deep learning-based perspective for tooth numbering and caries detection. Clin Oral Investig. 2024;28(3).

Mörch CM, Atsu S, Cai W, Li X, Madathil SA, Liu X, et al. Artificial Intelligence and Ethics in Dentistry: A Scoping Review. J Dent Res. 2021;100(13):1452-60.

Duggal I, Tripathi T. Ethical principles in dental healthcare: Relevance in the current technological era of artificial intelligence. J Oral Biol Craniofac Res. 2024;14(3):317-21.