Impacto de la inteligencia artificial en la odontología: una reflexión
Palabras clave:
Inteligencia Artificial, Odontología, Atención odontológica
Resumen
La inteligencia artificial (IA) está transformando la odontología al mejorar la precisión diagnóstica, optimizar los tratamientos y facilitar la gestión clínica. Este artículo reflexiona sobre los beneficios, desafíos y consideraciones éticas de la implementación de la IA a partir de estudios recientes que demuestran su potencial en la odontología y las implicaciones de su uso.
Referencias
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8. Talwar V, Singh P, Mukhia N, Shetty A, Birur P, Desai KM, et al. AI-Assisted Screening of Oral Potentially Malignant Disorders Using Smartphone-Based Photographic Images. Cancers (Basel). 2023;15(16):4120. Disponible en: https://www.mdpi.com/2072-6694/15/16/4120
9. Lee J-H, Kim D-H, Jeong S-N, Choi S-H. Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm. J Dent. 2018;77:106–11. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S0300571218302252
10. Stable-Rodriguez Y. Desafíos en el uso de la Inteligencia Artificial para el sector salud. Rev Inf Científica. 2023;102:1–4. Disponible en: http://www.revinfcientifica.sld.cu/index.php/ric/article/view/4256
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12. Patil S, Albogami S, Hosmani J, Mujoo S, Kamil MA, Mansour MA, et al. Artificial Intelligence in the Diagnosis of Oral Diseases: Applications and Pitfalls. Diagnostics. 2022;12(5):1029. Disponible en: https://www.mdpi.com/2075-4418/12/5/1029
13. Khanagar SB, Al-ehaideb A, Maganur PC, Vishwanathaiah S, Patil S, Baeshen HA, et al. Developments, application, and performance of artificial intelligence in dentistry – A systematic review. J Dent Sci. 2021;16(1):508–22. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S1991790220301434
14. Alotaibi G, Awawdeh M, Farook FF, Aljohani M, Aldhafiri RM, Aldhoayan M. Artificial intelligence (AI) diagnostic tools: utilizing a convolutional neural network (CNN) to assess periodontal bone level radiographically—a retrospective study. BMC Oral Health. 2022;22(1):399. Disponible en: https://bmcoralhealth.biomedcentral.com/articles/10.1186/s12903-022-02436-3
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16. Alowais SA, Alghamdi SS, Alsuhebany N, Alqahtani T, Alshaya AI, Almohareb SN, et al. Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Med Educ. 2023;23(1):689. Disponible en: https://bmcmededuc.biomedcentral.com/articles/10.1186/s12909-023-04698-z
17. Strunga M, Urban R, Surovková J, Thurzo A. Artificial Intelligence Systems Assisting in the Assessment of the Course and Retention of Orthodontic Treatment. Healthcare. 2023;11(5):683. Disponible en: https://www.mdpi.com/2227-9032/11/5/683
18. Altalhi AM, Alharbi FS, Alhodaithy MA, Almarshedy BS, Al-saaib MY, Al jfshar RM, et al. The Impact of Artificial Intelligence on Dental Implantology: A Narrative Review. Cureus. 2023;15(10):e47941. Disponible en: https://www.cureus.com/articles/202920-the-impact-of-artificial-intelligence-on-dental-implantology-a-narrative-review
19. Mupparapu M, Wu C-W, Chen Y-C. Artificial intelligence, machine learning, neural networks, and deep learning: Futuristic concepts for new dental diagnosis. Quintessence Int (Berl). 2018;49(9):687–8. Disponible en: http://www.ncbi.nlm.nih.gov/pubmed/30202834
20. Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan. A Survey on Bias and Fairness in Machine Learning. ACM Comput Surv. 2021;56(6). Disponible en: https://dl.acm.org/doi/pdf/10.1145/3457607
21. Williamson SM, Prybutok V. Balancing Privacy and Progress: A Review of Privacy Challenges, Systemic Oversight, and Patient Perceptions in AI-Driven Healthcare. Appl Sci. 2024;14(2):675. Disponible en: https://www.mdpi.com/2076-3417/14/2/675
22. Kolen D. Cybersecurity: Current Best Practices [Internet]. Ontario Academy of General Dentistry. 23d. C. [citado 10 de junio de 2024]. p. 1–2. Disponible en: https://agd.org/constituent/news/2023/02/21/cybersecurity-current-best-practices
23. European Union. Data protection under GDPR [Internet]. Your Europe. 2022 [citado 10 de junio de 2024]. p. 1–2. Disponible en: https://europa.eu/youreurope/business/dealing-with-customers/data-protection/data-protection-gdpr/index_en.htm
24. Vodanović M, Subašić M, Milošević D, Savić Pavičin I. Artificial Intelligence in Medicine and Dentistry. Acta Stomatol Croat. 2023;57(1):70–84. Disponible en: https://hrcak.srce.hr/file/428684
25. Ramos G. Ética de la inteligencia artificial [Internet]. Unesco. 2022 [citado 10 de junio de 2024]. p. 1–4. Disponible en: https://www.unesco.org/es/artificial-intelligence/recommendation-ethics
26. Nieto-Martínez L. Así van los proyectos de ley sobre inteligencia artificial en Colombia en la legislatura 2023-2024. Ámbito Jurídico. 2024;3. Disponible en: https://www.ambitojuridico.com/noticias/analisis/tic/asi-van-los-proyectos-de-ley-sobre-inteligencia-artificial-en-colombia-en-la
27. Guío-Español A. Marco ético para la inteligencia artificial en Colombia [Internet]. Bogotá D.C.; 2020. Disponible en: https://www.usergioarboleda.edu.co/wp-content/uploads/2021/11/Marco-etico-para-la-inteligencia-artificial-en-Colombia-Maestria-en-Inteligencia-artificial.pdf
28. Hamd ZY, Elshami W, Al Kawas S, 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. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S2405844023042974
29. 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. Disponible en: https://www.mdpi.com/2227-7102/13/2/150
30. Dhopte A, Bagde H. Smart Smile: Revolutionizing Dentistry With Artificial Intelligence. Cureus. 2023;15(6):e41227. Disponible en: https://www.cureus.com/articles/167748-smart-smile-revolutionizing-dentistry-with-artificial-intelligence
31. American Dental Association (ADA). Dentistry — Overview of Artificial and Augmented Intelligence Uses in Dentistry [Internet]. Chicago; 2022. Disponible en: https://www.ada.org/-/media/project/ada-organization/ada/ada-org/files/resources/practice/dental-standards/ada_1106_2022.pdf
2. Schwendicke F, Samek W, Krois J. Artificial Intelligence in Dentistry: Chances and Challenges. J Dent Res. 2020;99(7):769–74. Disponible en: http://journals.sagepub.com/doi/10.1177/0022034520915714
3. Elias MA, Faversani LA, Moreira JAV, Masiero AV, Cunha NV da. Inteligencia artificial en salud y sus implicaciones bioéticas: una revisión sistemática. Rev Bioética. 2023;31:1–12. Disponible en: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1983-80422023000100544&tlng=es
4. Ocaña-Fernández Y, Valenzuela-Fernández LA, Garro-Aburto LL. Inteligencia artificial y sus implicaciones en la educación superior. Propósitos y Represent. 2019;7(2):1–17. Disponible en: http://revistas.usil.edu.pe/index.php/pyr/article/view/274
5. Hazarika I. Artificial intelligence: opportunities and implications for the health workforce. Int Health. 2020;12(4):241–5. Disponible en: https://academic.oup.com/inthealth/article/12/4/241/5821036
6. González LG, Vega Jiménez J, Lorente Leyva L. Odontología e inteligencia artificial. Rev Cuba Med Mil. 2023;52(4):e023018125. Disponible en: http://scielo.sld.cu/pdf/mil/v52n4/1561-3046-mil-52-04-e18125.pdf
7. Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44–56. Disponible en: https://www.nature.com/articles/s41591-018-0300-7
8. Talwar V, Singh P, Mukhia N, Shetty A, Birur P, Desai KM, et al. AI-Assisted Screening of Oral Potentially Malignant Disorders Using Smartphone-Based Photographic Images. Cancers (Basel). 2023;15(16):4120. Disponible en: https://www.mdpi.com/2072-6694/15/16/4120
9. Lee J-H, Kim D-H, Jeong S-N, Choi S-H. Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm. J Dent. 2018;77:106–11. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S0300571218302252
10. Stable-Rodriguez Y. Desafíos en el uso de la Inteligencia Artificial para el sector salud. Rev Inf Científica. 2023;102:1–4. Disponible en: http://www.revinfcientifica.sld.cu/index.php/ric/article/view/4256
11. Suazo Galdames I. Aplicaciones de la inteligencia artificial en el diagnóstico dentomaxilofacial. Rev Cubana Estomatol. 2024;61:e4934. Disponible en: http://scielo.sld.cu/scielo.php?script=sci_abstract&pid=S0034-75072024000100008&lng=es&nrm=iso
12. Patil S, Albogami S, Hosmani J, Mujoo S, Kamil MA, Mansour MA, et al. Artificial Intelligence in the Diagnosis of Oral Diseases: Applications and Pitfalls. Diagnostics. 2022;12(5):1029. Disponible en: https://www.mdpi.com/2075-4418/12/5/1029
13. Khanagar SB, Al-ehaideb A, Maganur PC, Vishwanathaiah S, Patil S, Baeshen HA, et al. Developments, application, and performance of artificial intelligence in dentistry – A systematic review. J Dent Sci. 2021;16(1):508–22. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S1991790220301434
14. Alotaibi G, Awawdeh M, Farook FF, Aljohani M, Aldhafiri RM, Aldhoayan M. Artificial intelligence (AI) diagnostic tools: utilizing a convolutional neural network (CNN) to assess periodontal bone level radiographically—a retrospective study. BMC Oral Health. 2022;22(1):399. Disponible en: https://bmcoralhealth.biomedcentral.com/articles/10.1186/s12903-022-02436-3
15. Kavyashree C, Vimala HS, Shreyas J. A systematic review of artificial intelligence techniques for oral cancer detection. Healthc Anal. 2024;5:100304. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S2772442524000066
16. Alowais SA, Alghamdi SS, Alsuhebany N, Alqahtani T, Alshaya AI, Almohareb SN, et al. Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Med Educ. 2023;23(1):689. Disponible en: https://bmcmededuc.biomedcentral.com/articles/10.1186/s12909-023-04698-z
17. Strunga M, Urban R, Surovková J, Thurzo A. Artificial Intelligence Systems Assisting in the Assessment of the Course and Retention of Orthodontic Treatment. Healthcare. 2023;11(5):683. Disponible en: https://www.mdpi.com/2227-9032/11/5/683
18. Altalhi AM, Alharbi FS, Alhodaithy MA, Almarshedy BS, Al-saaib MY, Al jfshar RM, et al. The Impact of Artificial Intelligence on Dental Implantology: A Narrative Review. Cureus. 2023;15(10):e47941. Disponible en: https://www.cureus.com/articles/202920-the-impact-of-artificial-intelligence-on-dental-implantology-a-narrative-review
19. Mupparapu M, Wu C-W, Chen Y-C. Artificial intelligence, machine learning, neural networks, and deep learning: Futuristic concepts for new dental diagnosis. Quintessence Int (Berl). 2018;49(9):687–8. Disponible en: http://www.ncbi.nlm.nih.gov/pubmed/30202834
20. Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan. A Survey on Bias and Fairness in Machine Learning. ACM Comput Surv. 2021;56(6). Disponible en: https://dl.acm.org/doi/pdf/10.1145/3457607
21. Williamson SM, Prybutok V. Balancing Privacy and Progress: A Review of Privacy Challenges, Systemic Oversight, and Patient Perceptions in AI-Driven Healthcare. Appl Sci. 2024;14(2):675. Disponible en: https://www.mdpi.com/2076-3417/14/2/675
22. Kolen D. Cybersecurity: Current Best Practices [Internet]. Ontario Academy of General Dentistry. 23d. C. [citado 10 de junio de 2024]. p. 1–2. Disponible en: https://agd.org/constituent/news/2023/02/21/cybersecurity-current-best-practices
23. European Union. Data protection under GDPR [Internet]. Your Europe. 2022 [citado 10 de junio de 2024]. p. 1–2. Disponible en: https://europa.eu/youreurope/business/dealing-with-customers/data-protection/data-protection-gdpr/index_en.htm
24. Vodanović M, Subašić M, Milošević D, Savić Pavičin I. Artificial Intelligence in Medicine and Dentistry. Acta Stomatol Croat. 2023;57(1):70–84. Disponible en: https://hrcak.srce.hr/file/428684
25. Ramos G. Ética de la inteligencia artificial [Internet]. Unesco. 2022 [citado 10 de junio de 2024]. p. 1–4. Disponible en: https://www.unesco.org/es/artificial-intelligence/recommendation-ethics
26. Nieto-Martínez L. Así van los proyectos de ley sobre inteligencia artificial en Colombia en la legislatura 2023-2024. Ámbito Jurídico. 2024;3. Disponible en: https://www.ambitojuridico.com/noticias/analisis/tic/asi-van-los-proyectos-de-ley-sobre-inteligencia-artificial-en-colombia-en-la
27. Guío-Español A. Marco ético para la inteligencia artificial en Colombia [Internet]. Bogotá D.C.; 2020. Disponible en: https://www.usergioarboleda.edu.co/wp-content/uploads/2021/11/Marco-etico-para-la-inteligencia-artificial-en-Colombia-Maestria-en-Inteligencia-artificial.pdf
28. Hamd ZY, Elshami W, Al Kawas S, 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. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S2405844023042974
29. 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. Disponible en: https://www.mdpi.com/2227-7102/13/2/150
30. Dhopte A, Bagde H. Smart Smile: Revolutionizing Dentistry With Artificial Intelligence. Cureus. 2023;15(6):e41227. Disponible en: https://www.cureus.com/articles/167748-smart-smile-revolutionizing-dentistry-with-artificial-intelligence
31. American Dental Association (ADA). Dentistry — Overview of Artificial and Augmented Intelligence Uses in Dentistry [Internet]. Chicago; 2022. Disponible en: https://www.ada.org/-/media/project/ada-organization/ada/ada-org/files/resources/practice/dental-standards/ada_1106_2022.pdf
Publicado
2023-12-11
Cómo citar
Castillo Pedraza, M., Obispo Salazar, K., & Wilches Visbal, J. (2023). Impacto de la inteligencia artificial en la odontología: una reflexión. Ustasalud, 23(1). https://doi.org/https://doi.org/10.15332/us.v23i1.3142
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