Article Data

  • Views 785
  • Dowloads 170

Mini-Reviews

Open Access

Role of artificial intelligence in behavior management of pediatric dental patients—a mini review

  • Sonu Acharya1,*,
  • Brinda S. Godhi2
  • Vrinda Saxena3
  • Ali A Assiry4
  • Noura Abdulaziz Alessa5
  • Ali Azhar Dawasaz6
  • Abdullah Alqarni7
  • Mohmed Isaqali Karobari8,*,

1Pediatric and Preventive Dentistry, Institute of Dental Sciences, Siksha ‘O’Anusandhan (Deemed to be) University, 751016 Bhubaneswar, India

2Department of Pediatric and Preventive Dentistry, JSS Dental College, JSS Academy of Higher Education and research, 570015 Mysuru, India

3Department of Public Health Dentistry, Government Dental College, 452001 Indore, India

4Preventive Dental Science Department, Faculty of Dentistry, Najran University, 1988 Najran, Kingdom of Saudi Arabia

5Department of pediatric dentistry and orthodontics, dental college, King Saud University, 11454 Riyadh, Kingdom of Saudi Arabia

6Department of diagnostic dental sciences, College of dentistry, King Khalid University, 61421 Abha, Kingdom of Saudi Arabia

7Department of Diagnostics Dental Sciences and Oral Biology, College of Dentistry, King Khalid University, 61421 Abha, Kingdom of Saudi Arabia

8Dental Research Unit, Center for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, 600077 Chennai, India

DOI: 10.22514/jocpd.2024.055 Vol.48,Issue 3,May 2024 pp.24-30

Submitted: 20 July 2023 Accepted: 18 September 2023

Published: 03 May 2024

*Corresponding Author(s): Sonu Acharya E-mail: sonuacharya@soa.ac.in
*Corresponding Author(s): Mohmed Isaqali Karobari E-mail: dr.isaq@gmail.com

Abstract

The influence of behavioral science on various organizations has been experiencing remarkable growth worldwide. With the integration of recent technological advancements, behavioral science’s impact has expanded into diverse fields such as finance and policy. The term “artificial intelligence” (AI) has become increasingly prevalent, but it is essential to provide clarity before proceeding. AI pertains to the theory and creation of systems capable of executing tasks that typically necessitate human intelligence. Integrating artificial intelligence (AI) in pediatric dentistry has emerged as a promising avenue to enhance patient care, improve diagnostic accuracy, streamline treatment planning, and augment patient engagement. AI-driven tools such as image analysis, natural language processing, and machine learning algorithms assist in early caries detection, orthodontic treatment planning, behavior management, and personalized oral hygiene education for pediatric patients. This paper presents an overview of AI’s applications in pediatric dentistry, particularly behavior management, highlighting its potential to revolutionize traditional pediatric dental practices.


Keywords

Artificial intelligence; Behavior; Children; Management; New technology; Pediatric dentistry


Cite and Share

Sonu Acharya,Brinda S. Godhi,Vrinda Saxena,Ali A Assiry,Noura Abdulaziz Alessa,Ali Azhar Dawasaz,Abdullah Alqarni,Mohmed Isaqali Karobari. Role of artificial intelligence in behavior management of pediatric dental patients—a mini review. Journal of Clinical Pediatric Dentistry. 2024. 48(3);24-30.

References

[1] Turing AM. Computing machinery and intelligence. Nature Machine Intelligence. 1950;49:433–460.

[2] Pang Z, Yuan H, Zhang Y-T, Packirisamy M. Guest editorial health engineering driven by the industry 4.0 for aging society. IEEE Journal of Biomedical and Health Informatics. 2018;22:1709–1710.

[3] Metz C, Smith CS. AI can be a boon to medicine that could easily go rogue. The New York Times, 2019;B5. (25 March 2019)

[4] Hengstler M, Enkel E, Duelli S. Applied artificial intelligence and trust—the case of autonomous vehicles and medical assistance devices. Technological Forecasting and Social Change. 2016; 105: 105–120.

[5] Bajwa J, Munir U, Nori A, Williams B. Artificial intelligence in healthcare: transforming the practice of medicine. Future Healthcare Journal. 2021; 8: e188–e194.

[6] TopolEJ. High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine. 2019; 25: 44–56.

[7] Mary-Anne Ramis, BéatricePerrenoud.Educating future generations of health professionals: looking back and moving forward. JBI Evidence Synthesis.2023;21: 1348–1350.

[8] Topol E. Deep medicine: how artificial intelligence can make healthcare human again. 1st edn. Basic Books: New York, NY. 2019.

[9] Pedersen T, Johansen C. Behavioural artificial intelligence: an agenda for systematic empirical studies of artificial inference. AI & Society. 2020; 35: 519–532.

[10] Park WJ, Park JB. History and applications of artificial neural networks in dentistry.European Journal of Dentistry. 2018;12:594–601.

[11] Chen YW, Stanley K, Att W. Artificial intelligence in dentistry: current applications and future perspectives.Quintessence International. 2020;51:248–257.

[12] Rajaram Mohan K, Mathew Fenn S. Artificial intelligence and its theranostic applications in dentistry. Cureus. 2023; 15: e38711.

[13] Kühnisch J, Meyer O, Hesenius M, Hickel R, Gruhn V. Caries detection on intraoral images using artificial intelligence. Journal of Dental Research. 2022; 101: 158–165.

[14] Real AD, Real OD, Sardina S, Oyonarte R. Use of automated artificial intelligence to predict the need for orthodontic extractions. Korean Journal of Orthodontics. 2022; 52: 102–111.

[15] Reeves R, Curran D, Gleeson A, Hanna D. A Meta-analysis of the efficacy of virtual reality and in vivo exposure therapy as psychological interventions for public speaking anxiety. Behavior Modification. 2022; 46: 937–965.

[16] Zhang W, Paudel D, Shi R, Liang J, Liu J, Zeng X,et al. Virtual reality exposure therapy (VRET) for anxiety due to fear of COVID-19 infection: a case series. Neuropsychiatric Disease and Treatment. 2020;16:2669–2675.

[17] Evans C, Moonesinghe R. Virtual reality in pediatric anesthesia: a toy or a tool. Pediatric Anesthesia. 2020; 30: 386–387.

[18] Vishwanathaiah S, FageehHN, Khanagar SB, Maganur PC. Artificial intelligence its uses and application in pediatric dentistry: a review.Biomedicines. 2023; 11: 788.

[19] Böhnlein J, Altegoer L, Muck NK, Roesmann K, Redlich R, Dannlowski U, et al. Factors influencing the success of exposure therapy for specific phobia: a systematic review. Neuroscience & Biobehavioral Reviews. 2020; 108: 796–820.

[20] Cunningham A, McPolin O, Fallis R, Coyle C, Best P, McKenna G. A systematic review of the use of virtual reality or dental smartphone applications as interventions for management of paediatric dental anxiety. BMC Oral Health. 2021; 21: 244.

[21] Hugar S, Kohli N, Soneta S, Saxena N, Kadam K, Gokhale N. Psychological behavior management techniques to alleviate dental fear and anxiety in 4–14-year-old children in pediatric dentistry: a systematic review and meta-analysis. Dental Research Journal. 2022; 19: 47.

[22] Nazzal H, ElShahawy OI, Al-Jundi S, Hussein I, TahmassebiJF. The use of behaviour management techniques amongst paediatric dentists working in the Arabian region: a cross-sectional survey study. European Archives of Paediatric Dentistry. 2021; 22: 375–385.

[23] Modha B. Exploring customer journeys in the context of dentistry: a case study. Dentistry Journal. 2023;11:75.

[24] Hauer T. Importance and limitations of AI ethics in contemporary society. Humanities and Social Sciences Communications.2022;9:272.

[25] Luczak A, McNaughton BL, Kubo Y. Neurons learn by predicting future activity. Nature Machine Intelligence.2022;4: 62–72.

[26] Panch T, Mattie H, Atun R. Artificial intelligence and algorithmic bias: implications for health systems. Journal of Global Health. 2019; 9: 010318.

[27] Ryu J, Park S, Park J, Kim J, Yoo H, Kim T, et al. Randomized clinical trial of immersive virtual reality tour of the operating theatre in children before anaesthesia. British Journal of Surgery. 2017; 104: 1628–1633.

[28] Kim J, Chiesa N, Raazi M, Wright KD. A systematic review of technology-based preoperative preparation interventions for child and parent anxiety. Canadian Journal of Anesthesia. 2019; 66: 966–986.

[29] American Society of Anesthesiologists. Studies show potential of virtual reality to reduce children’s anxiety, pain. Science Daily,2018; (24 October 2018)

[30] Zhang F, Wu S, Qu M, Zhou L. Application of a remotely controlled artificial intelligence analgesic pump device in painless treatment of children. Contrast Media & Molecular Imaging. 2022; 2022: 1–6.

[31] Welbers K, Konijn EA, Burgers C, de Vaate AB, Eden A, Brugman BC. Gamification as a tool for engaging student learning: a field experiment with a gamified app. E-Learning and Digital Media. 2019; 16: 92–109.

[32] Edwards EA, Lumsden J, Rivas C, Steed L, Edwards LA, Thiyagarajan A, et al. Gamification for health promotion: systematic review of behaviour change techniques in smartphone apps. BMJ Open. 2016; 6: e012447.

[33] Crawford S, Del Hagen E, Du J, Husak E, Liao Z, Santoso M, et al. DentalVerse: interactive multiusers virtual reality implementation to train preclinical dental student psychomotor skill. 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). 2022; 81–84.

[34] Fijačko N, Gosak L, Cilar L, Novšak A, Creber RM, Skok P, et al. The effects of gamification and oral self-care on oral hygiene in children: systematic search in app stores and evaluation of apps. JMIRmHealth uHealth. 2020;8:e16365.

[35] Bryant V. Harry potter and the osteopathic medical school: creating a harry potter-themed day as a high-yield review for final exams. Medical Science Educator. 2021; 31: 819–825.

[36] Wang AI, Tahir R. The effect of using Kahoot! for learning—a literature review. Computers & Education. 2020; 149: 103818.

[37] Knösel M, Jung K, Bleckmann A. YouTube, dentistry, and dental education. Journal of Dental Education. 2011; 75: 1558–1568.

[38] You W, Hao A, Li S, Wang Y, Xia B. Deep learning-based dental plaque detection on primary teeth: a comparison with clinical assessments. BMC Oral Health. 2020; 20: 141.

[39] California Dental Association.Thinking of bringing on a virtual assistant in the dental practice? That’s an option, but proceed with caution. 2023. Available at: https://www.cda.org/Home/News-and-Information/Newsroom/Article-Details/thinking-of-bringing-on-a-virtual-assistant-in-the-dental-practice-thats-an-option-but-proceed-with-caution (Accessed: 10 August 2023).

[40] Kulkarni S, Rojekar N, Bhattad D, Shukla H, Wasnik MB, Kolekar P. Acceptance of parents for behavior management technique with reference to previous dental expertise and dental anxiety. International Journal of Clinical Pediatric Dentistry. 2022; 14: S193–S198.

[41] Tai M. The impact of artificial intelligence on human society and bioethics. Tzu Chi Medical Journal. 2020; 32: 339.

[42] khan B, Fatima H, Qureshi A, Kumar S, Hanan A, Hussain J, et al. Drawbacks of artificial intelligence and their potential solutions in the healthcare sector. Biomedical Materials & Devices. 2023; 1: 731–738.

[43] Schwendicke F, Samek W, Krois J. Artificial intelligence in dentistry: chances and challenges. Journal of Dental Research. 2020; 99: 769–774.

[44] Mine Y, Iwamoto Y, Okazaki S, Nakamura K, Takeda S, Peng T, et al. Detecting the presence of supernumerary teeth during the early mixed dentition stage using deep learning algorithms: a pilot study. International Journal of Paediatric Dentistry. 2022; 32: 678–685.

[45] Gajic M, Vojinovic J, Kalevski K, Pavlovic M, Kolak V, Vukovic B,et al. Analysis of the impact of oral health on adolescent quality of life using standard statistical methods and artificial intelligence algorithms. Children. 2021; 8: 1156.

[46] Park YH, Kim SH, Choi YY. Prediction models of early childhood caries based on machine learning algorithms. International Journal of Environmental Research and Public Health. 2021; 18: 8613.

[47] Al-Halabi MN, Bshara N, AlNerabieah Z. Effectiveness of audiovisual distraction using virtual reality eyeglasses versus tablet device in child behavioral management during inferior alveolar nerve block. Anaesthesia, Pain & Intensive Care. 2018;22:55–61.

[48] Graham S, Depp C, Lee EE, Nebeker C, Tu X, Kim H, et al. Artificial intelligence for mental health and mental illnesses: an overview. Current Psychiatry Reports. 2019; 21: 116.

[49] Aggarwal A, Tam CC, Wu D, Li X, Qiao S. Artificial intelligence-based chatbots for promoting health behavioral changes: systematic review. Journal of Medical Internet Research. 2023;25:e40789.

[50] Coutinho MB, DamascenoJX, Cals de Oliveira PCM, Marinho IMA, MarçalEBF, Vieira-Meyer APGF. A novel mobile app intervention to reduce dental anxiety in infant patients. Telemedicine and e-Health. 2021; 27: 694–700.

[51] Garrocho-Rangel A, Ibarra-Gutiérrez E, Rosales-Bérber M, Esquivel-Hernández R, Esparza-Villalpando V, Pozos-Guillén A. A video eyeglasses/earphones distracting method during dental treatment in children: a crossover randomised and controlled clinical trial. European Journal of Paediatric Dentistry. 2018;19:74–79.

[52] Kelly CJ, Karthikesalingam A, Suleyman M, Corrado G, King D. Key challenges for delivering clinical impact with artificial intelligence. BMC Medicine. 2019; 17: 195.

[53] Khan B, Fatima H, Qureshi A, Kumar S, Hanan A, Hussain J,et al. Drawbacks of artificial intelligence and their potential solutions in the healthcare sector.To be published in Biomedical Materials & Devices. 2023. [Preprint].


Abstracted / indexed in

Science Citation Index Expanded (SciSearch) Created as SCI in 1964, Science Citation Index Expanded now indexes over 9,500 of the world’s most impactful journals across 178 scientific disciplines. More than 53 million records and 1.18 billion cited references date back from 1900 to present.

Biological Abstracts Easily discover critical journal coverage of the life sciences with Biological Abstracts, produced by the Web of Science Group, with topics ranging from botany to microbiology to pharmacology. Including BIOSIS indexing and MeSH terms, specialized indexing in Biological Abstracts helps you to discover more accurate, context-sensitive results.

Google Scholar Google Scholar is a freely accessible web search engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and disciplines.

JournalSeek Genamics JournalSeek is the largest completely categorized database of freely available journal information available on the internet. The database presently contains 39226 titles. Journal information includes the description (aims and scope), journal abbreviation, journal homepage link, subject category and ISSN.

Current Contents - Clinical Medicine Current Contents - Clinical Medicine provides easy access to complete tables of contents, abstracts, bibliographic information and all other significant items in recently published issues from over 1,000 leading journals in clinical medicine.

BIOSIS Previews BIOSIS Previews is an English-language, bibliographic database service, with abstracts and citation indexing. It is part of Clarivate Analytics Web of Science suite. BIOSIS Previews indexes data from 1926 to the present.

Journal Citation Reports/Science Edition Journal Citation Reports/Science Edition aims to evaluate a journal’s value from multiple perspectives including the journal impact factor, descriptive data about a journal’s open access content as well as contributing authors, and provide readers a transparent and publisher-neutral data & statistics information about the journal.

Scopus: CiteScore 2.0 (2022) Scopus is Elsevier's abstract and citation database launched in 2004. Scopus covers nearly 36,377 titles (22,794 active titles and 13,583 Inactive titles) from approximately 11,678 publishers, of which 34,346 are peer-reviewed journals in top-level subject fields: life sciences, social sciences, physical sciences and health sciences.

Submission Turnaround Time

Conferences

Top