Behavior management in pediatric patients using artificial intelligence vs. conventional techniques. Systematic Review.
DOI:
https://doi.org/10.59334/ROV.v1i44.661Keywords:
artificial intelligence, pediatric dentistry, behavior, deep learning, neural intelligenceAbstract
Introduction: This review aims to objectively and impartially investigate and evaluate how AI is integrated into behavioral management in pediatric dentistry, comparing it with traditional techniques. Materials and Methods: Following the PRISMA methodology, searches were conducted in electronic databases such as PubMed, Scopus, Taylor & Francis, and Web of Science. Studies in English and Spanish from 2019 to 2024 were included. The selected references were reviewed to identify additional studies meeting the inclusion criteria. MESH terms, Decs, and free terms were used, along with Boolean operators OR, AND, and NOT. Results: Various authors report that AI is frequently used in pediatric dentistry for precise diagnoses and to assist clinicians, dentists, and pediatric dentists in clinical decision-making and behavior conditioning to improve cooperation during treatment. Conclusion: Artificial intelligence is a suitable tool for managing the behavior of pediatric dental patients, though it has not been fully researched yet. New technologies, such as educational chatbots, virtual reality, augmented reality, and image analysis, help pediatric patients feel more secure and cooperate better during dental visits. These technologies also improve individualized diagnostics and treatments, providing better dental care that is less invasive and stressful.
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Acharya, S., Godhi, B., Saxena, V., Assiry, A., Noura Alessa, Dawasaz, A., Abdullah Alqarni, & Isaqali Karobari. (2024). Role of artificial intelligence in behavior management of pediatric dental patients—a mini review. Journal of Clinical Pediatric Dentistry, 48(3), 24. https://doi.org/10.22514/jocpd.2024.055
Adum, J.H., Ruiz, M.G., Vera, H.J., & Alvarez, M.I. (2024). Inteligencia artificial en medicina: presente y futuro. RECIAMUC, 8(1), 166–177. https://doi.org/10.26820/reciamuc/8.(1).ene.2024.166-177
Alarco-Cadillo, L., Casas Apayco, L., Reyes Bossio, M., & Ramírez Torres, M. C. (2021). Uso de dos técnicas alternativas de manejo de conducta: musicoterapia y distracción audiovisual, en el control y manejo de ansiedad en pacientes pediátricos de 5 a 10 años. Revista de Odontopediatría Latinoamericana, 7(1), 9. https://doi.org/10.47990/alop.v7i1.127
Alshatrat, S. M.; Sabarini, J. M.; Hammouri, H. M.; Al-Bakri, I. A. y Al-Omari, W. M. (2022) Effect of Immersive Virtual Reality on Pain in Different Dental Procedures in Children: A Pilot Study. International Journal of Paediatric Dentistry. https://doi.org/10.1111/ipd.12851
Babu, A., Onesimu, J. A., & Sagayam, K. M. (2021). Artificial Intelligence in dentistry: Concepts, Applications and Research Challenges. E3S Web of Conferences, 297, 01074. https://doi.org/10.1051/e3sconf/202129701074
Bravo, M.; Abril, D.; Padilla, P.; Peralta, D. y Piedra, T. (2024). Inteligencia artificial en Odontología: Impacto y perspectivas en la gestión de clínicas dentales, una revisión de la literatura. Research Society and Development, 13(7), e10713746434-e10713746434. https://doi.org/10.33448/rsd-v13i7.46434
Bustos Rodriguez, A., & Salcedo, R. (2019). Grado de aceptación de los padres ante la restricción como técnica de manejo de conducta en niños de 0 a 8 años de edad en una comunidad rural de Huánuco-Perú. Revista de Investigación de La Universidad Norbert Wiener, 4(1), 57–68. https://doi.org/10.37768/unw.rinv.04.01.005
Castillo Pedraza, M. C., Obispo Salazar, K. J., & Wilches Visbal, J. H. (2023). Impacto de la inteligencia artificial en la odontología: una reflexión. Ustasalud, 23(1). https://doi.org/10.15332/us.v23i1.3142
Chang, W.-J., Chang, P.-C., & Chang, Y.-H. (2024). The gamification and development of a chatbot to promote oral self-care by adopting behavior change wheel for Taiwanese children. Digital Health, 10. https://doi.org/10.1177/20552076241256750
Chen, Y.-W.; Stanley, K. y Att, W. (2020). Artificial intelligence in dentistry: current applications and future perspectives. Quintessence International, 51(3), 248-257. https://doi.org/10.3290/j.qi.a43952
Constantini Leopardi, A., Adanero Velasco, A., Espí Mayor, M., & Miegimolle Herrero, M. (2023). Effectiveness of Virtual Reality Goggles as Distraction for Children in Dental Care—A Narrative Review. Applied Sciences, 13(3), 1307. https://doi.org/10.3390/app13031307
Cunningham, A., McPolin, O., Fallis, R., Coyle, C., Best, P., & McKenna, G. (2021). A systematic review of the use of virtual reality or dental smartphone applications as interventions for management of paediatric dental anxiety. BMC Oral Health, 21(1). https://doi.org/10.1186/s12903-021-01602-3
Custódio, N. B.; Costa, F. D. S.; Cademartori, M. G., da Costa, V. P. P. y Goettems, M. L. (2020). Effectiveness of Virtual Reality Glasses as a Distraction for Children During Dental Care. Pediatric Dentistry, 42(2):93-100.E6-E7. From: https://www.ingentaconnect.com/content/aapd/pd/2020/00000042/00000002/art00002
Eyzaguirre, J. C. L.; Torrez, W. B.; Sousa, K. S. y Retamal-Valdes, B. (2023). Optimizando la atención dental infantil: el papel de la inteligencia artificial en Odontopediatría. Recima21, 4(9), e493849–e493849. https://doi.org/10.47820/recima21.v4i9.3849
Cuya Garcia, R. A., & Campos Campos, K. J. (2023). Técnicas de distracción utilizadas en Odontopediatría para la atención de niños de 5 a 10 años. Revisión de la literatura. Revista Odontología Pediátrica, 22(1), 48–57. https://doi.org/10.33738/spo.v22i1.238
Herrera-Estrella, M., Moreno-Gómez, A., Jiménez-Jiménez, E., Vázquez Manzanares, S., Pellón Díaz, G., & Argomedo-Ramos, G. (2022). Estrategias para el tratamiento del paciente agitado: trato digno y reducción del riesgo de daños. Revista Colombiana de Psiquiatría. https://doi.org/10.1016/j.rcp.2022.05.006
Khanagar, S. B., Alfouzan, K., Alkadi, L., Albalawi, F., Iyer, K., & Awawdeh, M. (2022). Performance of Artificial Intelligence (AI) Models Designed for Application in Pediatric Dentistry—A Systematic Review. Applied Sciences, 12(19), 9819. https://doi.org/10.3390/app12199819
Larrea, C., Bustillos Torrez, W. Silva Sousa, K. & Retamal-Valdes, B. (2023). Optimizando la Atención Dental Infantil: El Papel de la Inteligencia Artificial en Odontopediatría. Recima21, 4(9), e493849–e493849. https://doi.org/10.47820/recima21.v4i9.3849
Mancilla Monsalve, J. L. (2019). Uso de patrones de reconocimiento de las emociones para apoyar la didáctica de enseñanza aprendizaje. Dictamen Libre, 24, 15–41. https://doi.org/10.18041/2619-4244/dl.24.5463
Naeimi, S. M., Darvish, S., Salman, B. N., & Luchian, I. (2024). Artificial Intelligence in Adult and Pediatric Dentistry: A Narrative Review. Bioengineering, 11(5), 431. https://doi.org/10.3390/bioengineering11050431
Paredes, S. (2023). Apropiación tecnológica como recurso en el manejo de conducta para la consulta odontológica de pacientes con autismo. Revista Electrónica de Estudios Telemáticos, 22(1), 1–12. https://dialnet.unirioja.es/descarga/articulo/8951762.pdf
Shetty, V., Suresh, L. R., & Hegde, A. M. (2019). Effect of Virtual Reality Distraction on Pain and Anxiety During Dental Treatment in 5 to 8 Year Old Children. Journal of Clinical Pediatric Dentistry, 43(2), 97–102. https://doi.org/10.17796/1053-4625-43.2.5
Takahashi, T., Nozaki, K., Gonda, T., Mameno, T., & Ikebe, K. (2021). Deep learning-based detection of dental prostheses and restorations. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-81202-x
Tanaka, K., Hayakawa, M., Noda, C., Nakamura, A., & Akiyama, C. (2022). Effects of artificial intelligence aibo intervention on alleviating distress and fear in children. Child and Adolescent Psychiatry and Mental Health, 16(1). https://doi.org/10.1186/s13034-022-00519-1
Tandon, D., & Rajawat, J. (2020). Present and future of artificial intelligence in dentistry. Journal of Oral Biology and Craniofacial Research, 10(4), 391–396. https://doi.org/10.1016/j.jobcr.2020.07.015
Thurzo, A., Urbanová, W., Novák, B., Czako, L., Siebert, T., Stano, P., Mareková, S., Fountoulaki, G., Kosnáčová, H., & Varga, I. (2022). Where Is the Artificial Intelligence Applied in Dentistry? Systematic Review and Literature Analysis. Healthcare (Basel, Switzerland), 10(7), 1269. https://doi.org/10.3390/healthcare10071269
Vishwanathaiah, S., Fageeh, H. N., Khanagar, S. B., & Maganur, P. C. (2023). Artificial Intelligence Its Uses and Application in Pediatric Dentistry: A Review. Biomedicines, 11(3), 788. https://doi.org/10.3390/biomedicines11030788
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