OTIMIZANDO O ATENDIMENTO ODONTOLÓGICO INFANTIL: O PAPEL DA INTELIGÊNCIA ARTIFICIAL NA ODONTOPEDIATRIA
DOI:
https://doi.org/10.47820/recima21.v4i9.3849Palavras-chave:
uso de Inteligência Artificial (IA) está se expandindo rapidamente em muitos camposResumo
O uso de Inteligência Artificial (IA) está se expandindo rapidamente em muitos campos da odontologia, incluindo a odontopediatria. Pesquisas mais extensas são necessárias para validar completamente seus benefícios e aplicações específicas no atendimento odontológico infantil. Este estudo realizou uma revisão narrativa da literatura sobre o papel da IA na otimização do atendimento odontológico pediátrico. Bases de dados como PubMed e Google Scholar foram consultadas para coletar os artigos relevantes, independentemente do idioma. A revisão de 31 artigos descobriu que várias técnicas de IA, como redes neurais, aprendizado profundo e aprendizado de máquina, são aplicadas em odontopediatria, mostrando resultados inicialmente promissores, mas preliminares, na detecção precoce de cárie, planejamento de tratamento e educação do paciente. No entanto, estudos em larga escala são necessários para determinar se esses avanços diagnósticos realmente se traduzem em melhores resultados a longo prazo. Além disso, a revisão destacou vários desafios relacionados ao uso da IA, incluindo viés nos dados e modelos, privacidade, ética e acesso desigual. Padrões, regulamentos e programas de treinamento apropriados são necessários para implementar a IA com segurança e igualdade. Portanto, a integração da IA na odontopediatria deve ser avaliada com cautela, considerando suas implicações clínicas, econômicas e sociais. Isso garantirá que seus pontos fortes sejam usados sem comprometer os objetivos de saúde bucal de outras crianças.
Downloads
Referências
Shaikh K, Vivek Bekal S, Marei HFA, Elsayed WSM, Surdilovic D, Jawad LA. Artificial Intelligence in Dentistry. Artificial Intelligence in Dentistry. 2023;
Vishwanathaiah S, Fageeh HN, Khanagar SB, Maganur PC. Artificial Intelligence Its Uses and Application in Pediatric Dentistry: A Review. Biomedicines 2023, Vol 11, Page 788 [Internet]. 2023 Mar 5 [cited 2023 Jun 24];11(3):788. Available from: https://www.mdpi.com/2227-9059/11/3/788/htm
Cacñahuaray-Martínez G, Gómez-Meza D, Lamas-Lara V, Guerrero ME. Aplicación de la inteligencia artificial en Odontología. Odontología Sanmarquina. 2021 Jul 1;24(3):243–53.
Humairo CN, Hapsari A, Bramanti I. The Role of Artificial Intelligence in Many Dental Specialties. BioMIC [Internet]. 2021 [cited 2023 Jun 24]; Available from: https://doi.org/10.1051/bioconf/20214103005
Mahajan K, Kunte S, Patil K, Shah P, Shah R, Jajoo S. Artificial intelligence in pediatric dentistry – A systematic review. Journal of Dental Research and Review [Internet]. 2023 [cited 2023 Jun 24];10(1):7. Available from: https://journals.lww.com/jdrr/Fulltext/2023/10010/Artificial_Intelligence_in_Pediatric_Dentistry___A.2.aspx
Baliga M. Artificial intelligence-The next frontier in pediatric dentistry. Journal of Indian Society of Pedodontics and Preventive Dentistry [Internet]. 2019 Oct 1 [cited 2023 Jun 24];37(4):315. Available from: https://journals.lww.com/jped/Fulltext/2019/37040/Artificial_intelligence___The_next_frontier_in.1.aspx
Alhaidry HM, Fatani B, Alrayes JO, Almana AM, Alfhaed NK. ChatGPT in Dentistry: A Comprehensive Review. Cureus [Internet]. 2023 Apr 30 [cited 2023 Jun 24];15(4). Available from: /pmc/articles/PMC10230850/
Karan-Romero M, Salazar-Gamarra RE, Leon-Rios XA. Evaluation of Attitudes and Perceptions in Students about the Use of Artificial Intelligence in Dentistry. Dent J (Basel) [Internet]. 2023 May 1 [cited 2023 Jun 24];11(5). Available from: /pmc/articles/PMC10217404/
Tuzoff D V., Tuzova LN, Bornstein MM, Krasnov AS, Kharchenko MA, Nikolenko SI, et al. Tooth detection and numbering in panoramic radiographs using convolutional neural networks. Dentomaxillofacial Radiology. 2019;48(4).
Cacñahuaray-Martínez G, Gómez-Meza D, Lamas-Lara V, Guerrero ME. Aplicación de la inteligencia artificial en Odontología. Odontología Sanmarquina. 2021 Jul 1;24(3):243–53.
Babu A, Onesimu JA, Sagayam KM. Artificial Intelligence in dentistry: Concepts, Applications and Research Challenges. In: E3S Web of Conferences. EDP Sciences; 2021.
Alexander B, John S, Head 1. ARTIFICIAL INTELLIGENCE IN DENTISTRY: CURRENT CONCEPTS AND A PEEP INTO THE FUTURE. Int J Adv Res [Internet]. 2018 [cited 2023 Jun 18];6(12):1105–8. Available from: http://dx.doi.org/10.21474/IJAR01/8242
Uribe S. Futuro de la inteligencia artificial en Odontología. Odontología Sanmarquina. 2021 Jul 1;24(3):305–7.
Kaya E, Gunec HG, Aydin KC, Urkmez ES, Duranay R, Ates HF. A deep learning approach to permanent tooth germ detection on pediatric panoramic radiographs. Imaging Sci Dent. 2022 Sep 1;52(3):275–81.
Koopaie M, Salamati M, Montazeri R, Davoudi M, Kolahdooz S. Salivary cystatin S levels in children with early childhood caries in comparison with caries-free children; statistical analysis and machine learning. 2020 [cited 2023 Jun 18]; Available from: https://doi.org/10.1186/s12903-021-02016-x
Vishwanathaiah S, Fageeh HN, Khanagar SB, Maganur PC. Artificial Intelligence Its Uses and Application in Pediatric Dentistry: A Review. Biomedicines [Internet]. 2023 Mar 5 [cited 2023 Jun 17];11(3):788. Available from: http://www.ncbi.nlm.nih.gov/pubmed/36979767
Spezzia S. Aplicabilidade da inteligência artificial em odontologia. Rev Flum Odontol (Online) [Internet]. 2023 [cited 2023 Jun 14];23–9. Available from: https://fi-admin.bvsalud.org/document/view/4t337
Alhaidry HM, Fatani B, Alrayes JO, Almana AM, Alfhaed NK. ChatGPT in Dentistry: A Comprehensive Review. Cureus [Internet]. 2023 Apr 30 [cited 2023 Jun 24];15(4). Available from: /pmc/articles/PMC10230850/
Karan-Romero M, Salazar-Gamarra RE, Leon-Rios XA. Evaluation of Attitudes and Perceptions in Students about the Use of Artificial Intelligence in Dentistry. Dent J (Basel) [Internet]. 2023 May 1 [cited 2023 Jun 24];11(5). Available from: /pmc/articles/PMC10217404/
Nguyen TT. Use of Artificial Intelligence in Dentistry: Current Clinical Trends and Research Advances. 2021;
Patcas R, Bornstein MM, Schätzle MA, Timofte R. Artificial intelligence in medico-dental diagnostics of the face: a narrative review of opportunities and challenges. Clin Oral Investig. 2022 Dec 1;26(12):6871–9.
Schwendicke F, Samek W, Krois J. Artificial Intelligence in Dentistry: Chances and Challenges. J Dent Res. 2020 Jul 1;99(7):769–74.
Cabral BM de S, Marques ABC, Menezes MRA de, Alves-Silva EG, Sá RAG de, Melo EL de, et al. Benefícios da inteligência artificial na identificação de cárie dentária: revisão integrativa. Research, Society and Development. 2021 Feb 9;10(2):e18310212117.
Humairo CN, Hapsari A, Bramanti I. The Role of Artificial Intelligence in Many Dental Specialties. BioMIC [Internet]. 2021 [cited 2023 Jun 24]; Available from: https://doi.org/10.1051/bioconf/20214103005
Karhade DS, Roach J, Shrestha P, Simancas-Pallares MA, Ginnis J, Burk ZJ, et al. An Automated Machine Learning Classifier for Early Childhood Caries. 2021;43(3):191–7.
Mahajan K, Kunte S, Patil K, Shah P, Shah R, Jajoo S. Artificial intelligence in pediatric dentistry – A systematic review. Journal of Dental Research and Review [Internet]. 2023 [cited 2023 Jun 24];10(1):7. Available from: https://journals.lww.com/jdrr/Fulltext/2023/10010/Artificial_Intelligence_in_Pediatric_Dentistry___A.2.aspx
Shaikh K, Vivek Bekal S, Marei HFA, Elsayed WSM, Surdilovic D, Jawad LA. Artificial Intelligence in Dentistry. Artificial Intelligence in Dentistry. 2023;
Zhang L, Kuchler E, Positivo U, Alexandre Rezende Vieira B, Zheng S, Zhang X, et al. A New Model for Caries Risk Prediction in Teenagers Using a Machine Learning Algorithm Based on Environmental and Genetic Factors. Machine Learning Algorithm Based on Environmental and Genetic Factors Front Genet [Internet]. 2021 [cited 2023 Jun 18];12:636867. Available from: www.frontiersin.org
Kishimoto T, Goto T, Matsuda T, Iwawaki Y, Ichikawa T. Application of artificial intelligence in the dental field: A literature review. J Prosthodont Res [Internet]. 2022 [cited 2023 Jul 26];66(1):19–28. Available from: https://pubmed.ncbi.nlm.nih.gov/33441504/
Baliga M. Artificial intelligence-The next frontier in pediatric dentistry. Journal of Indian Society of Pedodontics and Preventive Dentistry [Internet]. 2019 Oct 1 [cited 2023 Jul 12];37(4):315. Available from: https://www.researchgate.net/publication/337079667_Artificial_intelligence_-_The_next_frontier_in_pediatric_dentistry
Dhopte A, Bagde H. Smart Smile: Revolutionizing Dentistry With Artificial Intelligence. Cureus. 2023 Jul 1;
Tandon D, Rajawat J. Present and future of artificial intelligence in dentistry. J Oral Biol Craniofac Res. 2020 Oct 1;10(4):391–6.
Lamba GS, Singh H, Grover S, Oberoi SS, Atri M, Yadav P, et al. Artificial intelligence in modern dentistry. Int J Health Sci (Qassim). 2022 May 26;8086–98.
Huqh MZU, Abdullah JY, Wong LS, Jamayet N Bin, Alam MK, Rashid QF, et al. Clinical Applications of Artificial Intelligence and Machine Learning in Children with Cleft Lip and Palate-A Systematic Review. Int J Environ Res Public Health [Internet]. 2022 Sep 1 [cited 2023 Jun 16];19(17). Available from: https://pubmed.ncbi.nlm.nih.gov/36078576/
Sharma S. Artificial Intelligence in Dentistry: The Current Concepts and a Peek into the Future. International Journal of Contemporary Medical Research [IJCMR]. 2019 Dec;6(12).
Zaorska K, Szczapa T, Borysewicz-Lewicka M, Nowicki M, Gerreth K, Wawrusiewicz-Kurylonek N. Prediction of Early Childhood Caries Based on Single Nucleotide Polymorphisms Using Neural Networks. 2021; Available from: https://doi.org/10.3390/genes
Baliga M. Artificial intelligence-The next frontier in pediatric dentistry. Journal of Indian Society of Pedodontics and Preventive Dentistry. 2019
Downloads
Publicado
Como Citar
Licença
Direitos de Autor (c) 2023 RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218
Este trabalho encontra-se publicado com a Licença Internacional Creative Commons Atribuição 4.0.
Os direitos autorais dos artigos/resenhas/TCCs publicados pertecem à revista RECIMA21, e seguem o padrão Creative Commons (CC BY 4.0), permitindo a cópia ou reprodução, desde que cite a fonte e respeite os direitos dos autores e contenham menção aos mesmos nos créditos. Toda e qualquer obra publicada na revista, seu conteúdo é de responsabilidade dos autores, cabendo a RECIMA21 apenas ser o veículo de divulgação, seguindo os padrões nacionais e internacionais de publicação.
