Contribución de la Inteligencia Artificial en la Especialidad de Odontología: Revisión Sistemática

La Inteligencia artificial se ha convertido en un gran aliado de las ciencias de la salud, apoyando procesos preventivos, de detección, de diagnóstico, tratamientos, consulta, entre otros. Una de las especialidades médicas es la odontología, que se ha convertido en un área muy demandada, tanto por s...

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Autores:
Torres Hernández, Yesica Nataly
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2024
Institución:
Universidad Santo Tomás
Repositorio:
Repositorio Institucional USTA
Idioma:
spa
OAI Identifier:
oai:repository.usta.edu.co:11634/55715
Acceso en línea:
http://hdl.handle.net/11634/55715
Palabra clave:
Artificial Intelligence, Dentistry
Inteligencia Artificial, Odontología
Inteligencia artificial, odontología, Machine Learning, Deep Learning, Redes neuronales
Rights
openAccess
License
CC0 1.0 Universal
id SANTOTOMAS_d8cde846914d03b9db19185a60550570
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network_acronym_str SANTOTOMAS
network_name_str Repositorio Institucional USTA
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dc.title.spa.fl_str_mv Contribución de la Inteligencia Artificial en la Especialidad de Odontología: Revisión Sistemática
title Contribución de la Inteligencia Artificial en la Especialidad de Odontología: Revisión Sistemática
spellingShingle Contribución de la Inteligencia Artificial en la Especialidad de Odontología: Revisión Sistemática
Artificial Intelligence, Dentistry
Inteligencia Artificial, Odontología
Inteligencia artificial, odontología, Machine Learning, Deep Learning, Redes neuronales
title_short Contribución de la Inteligencia Artificial en la Especialidad de Odontología: Revisión Sistemática
title_full Contribución de la Inteligencia Artificial en la Especialidad de Odontología: Revisión Sistemática
title_fullStr Contribución de la Inteligencia Artificial en la Especialidad de Odontología: Revisión Sistemática
title_full_unstemmed Contribución de la Inteligencia Artificial en la Especialidad de Odontología: Revisión Sistemática
title_sort Contribución de la Inteligencia Artificial en la Especialidad de Odontología: Revisión Sistemática
dc.creator.fl_str_mv Torres Hernández, Yesica Nataly
dc.contributor.advisor.none.fl_str_mv Contreras Ortiz, Martha Susana
dc.contributor.author.none.fl_str_mv Torres Hernández, Yesica Nataly
dc.contributor.corporatename.spa.fl_str_mv Universidad Santo Tomás
dc.subject.keyword.spa.fl_str_mv Artificial Intelligence, Dentistry
topic Artificial Intelligence, Dentistry
Inteligencia Artificial, Odontología
Inteligencia artificial, odontología, Machine Learning, Deep Learning, Redes neuronales
dc.subject.lemb.spa.fl_str_mv Inteligencia Artificial, Odontología
dc.subject.proposal.spa.fl_str_mv Inteligencia artificial, odontología, Machine Learning, Deep Learning, Redes neuronales
description La Inteligencia artificial se ha convertido en un gran aliado de las ciencias de la salud, apoyando procesos preventivos, de detección, de diagnóstico, tratamientos, consulta, entre otros. Una de las especialidades médicas es la odontología, que se ha convertido en un área muy demandada, tanto por salud como por estética. En este artículo se realiza una revisión sistemática sobre los aportes encontrados de la Inteligencia Artificial al campo odontológico, con el fin de reconocer las condiciones para las cuales se emplea e identificar si su uso es con fines de diagnóstico o tratamiento. Además, se identifican los algoritmos más utilizados. Este trabajo busca dar una visión de los avances o investigaciones logradas en los últimos años, con el fin de apoyar futuros estudios que contribuyan al mejoramiento de la salud humana, en especial a nivel oral.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-06-20T16:23:29Z
dc.date.available.none.fl_str_mv 2024-06-20T16:23:29Z
dc.date.issued.none.fl_str_mv 2024-06-19
dc.type.local.spa.fl_str_mv Trabajo de grado
dc.type.version.none.fl_str_mv info:eu-repo/semantics/acceptedVersion
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dc.type.drive.none.fl_str_mv info:eu-repo/semantics/bachelorThesis
format http://purl.org/coar/resource_type/c_7a1f
status_str acceptedVersion
dc.identifier.citation.spa.fl_str_mv Torres Hernández, Y. N. (2024). Contribución de la Inteligencia Artificial en la Especialidad de Odontología: Revisión Sistemática. [Trabajo de Grado, Universidad Santo Tomás]. Repositorio Institucional.
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/11634/55715
dc.identifier.reponame.spa.fl_str_mv reponame:Repositorio Institucional Universidad Santo Tomás
dc.identifier.instname.spa.fl_str_mv instname:Universidad Santo Tomás
dc.identifier.repourl.spa.fl_str_mv repourl:https://repository.usta.edu.co
identifier_str_mv Torres Hernández, Y. N. (2024). Contribución de la Inteligencia Artificial en la Especialidad de Odontología: Revisión Sistemática. [Trabajo de Grado, Universidad Santo Tomás]. Repositorio Institucional.
reponame:Repositorio Institucional Universidad Santo Tomás
instname:Universidad Santo Tomás
repourl:https://repository.usta.edu.co
url http://hdl.handle.net/11634/55715
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A. M. Turing, “M I N D A QUARTERLY REVIEW OF PSYCHOLOGY AND PHILOSOPHY I.-COMPUTING MACHINERY AND INTELLIGENCE,” 1950. [Online]. Available: https://academic.oup.com/mind/article/LIX/236/433/986238
“Turing, Alan Mathison, (23 June 1912–7 June 1954), Reader in Mathematics, Manchester University, since 1948,” Who Was Who, Nov. 2017, doi: 10.1093/ww/9780199540884.013.u243891.
“¿Qué es el aprendizaje automático? | Oracle Colombia.” Accessed: May 07, 2024. [Online]. Available: https://www.oracle.com/co/artificial-intelligence/machine-learning/what-is-machine-learning/
“¿Qué es el reconocimiento del habla? | IBM.” Accessed: May 07, 2024. [Online]. Available: https://www.ibm.com/mx-es/topics/speech-recognition
Margaret A. Boden, “Inteligencia Artificial.” Accessed: Mar. 05, 2024. [Online]. Available: https://books.google.es/books?hl=es&lr=&id=LCnYDwAAQBAJ&oi=fnd&pg=PT3&dq=inteligencia+artificial+donde+se+usa&ots=dsPuCZ8Lob&sig=-C0roHULDmuVomf8iaKf0NmyWR4#v=onepage&q=inteligencia%20artificial%20donde%20se%20usa&f=false
Santos Costa, “Inteligencia Artificial en la Educación.” Accessed: Mar. 05, 2024. [Online]. Available: https://www.google.com.co/books/edition/Inteligencia_Artificial_en_la_Educaci%C3%B3n/vO_aEAAAQBAJ?hl=es&gbpv=1&dq=inteligencia+artificial+en+la+educacion&printsec=frontcover
Organización Panamericana de la Salud, “COVID-19 Y TELEMEDICINA.” Accessed: Mar. 07, 2024. [Online]. Available: https://www3.paho.org/ish/index.php/es/telemedicine
S. Monraz-Pérez et al., “Telemedicine during the covid-19 pandemic,” Neumologia y Cirugia de Torax(Mexico), vol. 80, no. 2, pp. 132–140, 2021, doi: 10.35366/100996.
D. Lanzagorta-Ortega, D. L. Carrillo-Pérez, and R. Carrillo-Esper, “Artificial intelligence in medicine: present and future,” Gac Med Mex, vol. 158, pp. 55–59, Dec. 2022, doi: 10.24875/GMM.M22000688.
Dental Tribune, “DT News - Latin America - La Inteligencia Artificial en la Odontología (2).” Accessed: Mar. 19, 2024. [Online]. Available: https://la.dental-tribune.com/news/la-inteligencia-artificial-en-la-odontologia-2/
EUROINNOVA, “Ventajas y desventajas de la inteligencia artificial.” Accessed: Mar. 05, 2024. [Online]. Available: https://www.euroinnova.co/blog/latam/ventajas-y-desventajas-inteligencia-artificial
Prisma, “PRISMA.” Accessed: Mar. 05, 2024. [Online]. Available: http://www.prisma-statement.org/?AspxAutoDetectCookieSupport=1
K. Rabie, C. Karthik, S. Chowdhury, and P. Kumar Dutta, “Deep Learning in Medical Image Processing and Analysis,” 2021. [Online]. Available: https://www.theiet.org/publishing/publishing-with-iet-books/.
P. Roongruangsilp and P. Khongkhunthian, “The learning curve of artificial intelligence for dental implant treatment planning: A descriptive study,” Applied Sciences (Switzerland), vol. 11, no. 21, Nov. 2021, doi: 10.3390/app112110159.
S. Sai, A. Gaur, R. Sai, V. Chamola, M. Guizani, and J. J. P. C. Rodrigues, “Generative AI for Transformative Healthcare: A Comprehensive Study of Emerging Models, Applications, Case Studies, and Limitations,” IEEE Access, vol. 12, pp. 31078–31106, 2024, doi: 10.1109/ACCESS.2024.3367715.
K. C. Li et al., “Detection of Tooth Position by YOLOv4 and Various Dental Problems Based on CNN With Bitewing Radiograph,” IEEE Access, vol. 12, pp. 11822–11835, 2024, doi: 10.1109/ACCESS.2023.3348788.
S. Sarwar and S. Jabin, “AI Techniques for Cone Beam Computed Tomography in Dentistry: Trends and Practices,” in 2023 International Conference on Recent Advances in Electrical, Electronics and Digital Healthcare Technologies, REEDCON 2023, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 226–231. doi: 10.1109/REEDCON57544.2023.10151069.
S. Kahurke, “Artificial Intelligence Algorithms and Techniques for Dentistry,” in 2023 1st International Conference on Cognitive Computing and Engineering Education, ICCCEE 2023, Institute of Electrical and Electronics Engineers Inc., 2023. doi: 10.1109/ICCCEE55951.2023.10424481.
J. J. Blessy and M. Sornam, “Artificial Intelligence in Orthodontics - An exposition,” in Proceedings - 6th International Conference on Computing Methodologies and Communication, ICCMC 2022, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 1335–1339. doi: 10.1109/ICCMC53470.2022.9753994.
M. T. Alharbi and M. M. Almutiq, “Prediction of Dental Implants Using Machine Learning Algorithms,” J Healthc Eng, vol. 2022, 2022, doi: 10.1155/2022/7307675.
H. Shojaei and V. Augusto, “‘Constructing Machine Learning models for Orthodontic Treatment Planning: a comparison of different methods,’” in Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 2790–2799. doi: 10.1109/BigData55660.2022.10021045.
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M. F. Lin et al., “Dental Positioning Medical Assistance System for BW Radiograph Based on YOLOV4,” in 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 910–917. doi: 10.1109/APSIPAASC58517.2023.10317168.
A. Thulaseedharan and P. S. Lal Priya, “Detection of typical Pathologies and Differential Treatments in Dental Panoramic X-Rays based on Deep Convolutional Neural Network,” in 2023 International Conference on Control, Communication and Computing, ICCC 2023, Institute of Electrical and Electronics Engineers Inc., 2023. doi: 10.1109/ICCC57789.2023.10165614.
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E. D. Fadhillah, P. C. Bramastagiri, R. Sigit, S. Sukaridhoto, A. Brahmanta, and B. S. B. Dewantara, “Smart Odontogram: Dental Diagnosis of Patients Using Deep Learning,” in International Electronics Symposium 2021: Wireless Technologies and Intelligent Systems for Better Human Lives, IES 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., Sep. 2021, pp. 532–537. doi: 10.1109/IES53407.2021.9594027.
K. Singh and M. Abrol, “To Use a Quick R-CNN Algorithm - An Automated Strategy for Tooth Diagnostics,” in Proceedings of the 2022 11th International Conference on System Modeling and Advancement in Research Trends, SMART 2022, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 1160–1164. doi: 10.1109/SMART55829.2022.10047030.
M. Vera et al., “Artificial Intelligence Techniques for Automatic Detection of Peri-implant Marginal Bone Remodeling in Intraoral Radiographs,” J Digit Imaging, vol. 36, no. 5, pp. 2259–2277, Oct. 2023, doi: 10.1007/s10278-023-00880-3.
S. Talpur, F. Azim, M. Rashid, S. A. Syed, B. A. Talpur, and S. J. Khan, “Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries,” Journal of Healthcare Engineering, vol. 2022. Hindawi Limited, 2022. doi: 10.1155/2022/5032435.
S. L. Chen et al., “Detection of Various Dental Conditions on Dental Panoramic Radiography Using Faster R-CNN,” IEEE Access, vol. 11, pp. 127388–127401, 2023, doi: 10.1109/ACCESS.2023.3332269.
A. F. Finlayson and R. Epifanio, “LA TOMOGRAFÍA COMPUTARIZADA DE HAZ CÓNICO RESUMEN.”
“Panorámica de maxilares - Radiología dental Sur de Quito.” Accessed: May 07, 2024. [Online]. Available: https://dentixray.com/rx-panoramica-digital/
“Radiografía Bite Wing - INARAD.” Accessed: May 07, 2024. [Online]. Available: https://www.inarad.cl/radiografias/radiografia-bite-wing/
“La OMS destaca que el descuido de la salud bucodental afecta a casi la mitad de la población mundial.” Accessed: Apr. 22, 2024. [Online]. Available: https://www.who.int/es/news/item/18-11-2022-who-highlights-oral-health-neglect-affecting-nearly-half-of-the-world-s-population
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spelling Contreras Ortiz, Martha SusanaTorres Hernández, Yesica NatalyUniversidad Santo Tomás2024-06-20T16:23:29Z2024-06-20T16:23:29Z2024-06-19Torres Hernández, Y. N. (2024). Contribución de la Inteligencia Artificial en la Especialidad de Odontología: Revisión Sistemática. [Trabajo de Grado, Universidad Santo Tomás]. Repositorio Institucional.http://hdl.handle.net/11634/55715reponame:Repositorio Institucional Universidad Santo Tomásinstname:Universidad Santo Tomásrepourl:https://repository.usta.edu.coLa Inteligencia artificial se ha convertido en un gran aliado de las ciencias de la salud, apoyando procesos preventivos, de detección, de diagnóstico, tratamientos, consulta, entre otros. Una de las especialidades médicas es la odontología, que se ha convertido en un área muy demandada, tanto por salud como por estética. En este artículo se realiza una revisión sistemática sobre los aportes encontrados de la Inteligencia Artificial al campo odontológico, con el fin de reconocer las condiciones para las cuales se emplea e identificar si su uso es con fines de diagnóstico o tratamiento. Además, se identifican los algoritmos más utilizados. Este trabajo busca dar una visión de los avances o investigaciones logradas en los últimos años, con el fin de apoyar futuros estudios que contribuyan al mejoramiento de la salud humana, en especial a nivel oral.Artificial Intelligence has become a great ally of health sciences, supporting preventive processes, detection, diagnosis, treatments, consultation, among others. One of the medical specialties is dentistry, which has become a highly in-demand area, both for health and aesthetics. In this article, a systematic review is carried out on the contributions found of Artificial Intelligence to the dental field, in order to recognize the conditions for which it is used and identify whether its use is for diagnostic or treatment purposes. In addition, the most used algorithms are identified. This work seeks to provide a vision of the advances or research achieved in recent years, in order to support future studies that contribute to the improvement of human health, especially at the oral level.Ingeniero InformáticoPregradotext/htmlspaUniversidad Santo TomásIngeniería InformáticaFacultad de Ingeniería de SistemasCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/Abierto (Texto Completo)info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Contribución de la Inteligencia Artificial en la Especialidad de Odontología: Revisión SistemáticaArtificial Intelligence, DentistryInteligencia Artificial, OdontologíaInteligencia artificial, odontología, Machine Learning, Deep Learning, Redes neuronalesTrabajo de gradoinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_7a1finfo:eu-repo/semantics/bachelorThesisCRAI-USTA TunjaOracle Colombia, “¿Qué es la inteligencia artificial (IA)?” Accessed: Mar. 05, 2024. [Online]. Available: https://www.oracle.com/co/artificial-intelligence/what-is-ai/Google Cloud, “¿Qué es el aprendizaje automático?” Accessed: Mar. 05, 2024. [Online]. Available: https://cloud.google.com/learn/what-is-machine-learning?hl=es-419Universidad central, “¿Qué son las redes neuronales y cómo funcionan?” Accessed: Mar. 05, 2024. [Online]. Available: https://www.ucentral.edu.co/noticentral/redes-neuronalesA. M. Turing, “M I N D A QUARTERLY REVIEW OF PSYCHOLOGY AND PHILOSOPHY I.-COMPUTING MACHINERY AND INTELLIGENCE,” 1950. [Online]. Available: https://academic.oup.com/mind/article/LIX/236/433/986238“Turing, Alan Mathison, (23 June 1912–7 June 1954), Reader in Mathematics, Manchester University, since 1948,” Who Was Who, Nov. 2017, doi: 10.1093/ww/9780199540884.013.u243891.“¿Qué es el aprendizaje automático? | Oracle Colombia.” Accessed: May 07, 2024. [Online]. Available: https://www.oracle.com/co/artificial-intelligence/machine-learning/what-is-machine-learning/“¿Qué es el reconocimiento del habla? | IBM.” Accessed: May 07, 2024. [Online]. Available: https://www.ibm.com/mx-es/topics/speech-recognitionMargaret A. Boden, “Inteligencia Artificial.” Accessed: Mar. 05, 2024. [Online]. Available: https://books.google.es/books?hl=es&lr=&id=LCnYDwAAQBAJ&oi=fnd&pg=PT3&dq=inteligencia+artificial+donde+se+usa&ots=dsPuCZ8Lob&sig=-C0roHULDmuVomf8iaKf0NmyWR4#v=onepage&q=inteligencia%20artificial%20donde%20se%20usa&f=falseSantos Costa, “Inteligencia Artificial en la Educación.” Accessed: Mar. 05, 2024. [Online]. Available: https://www.google.com.co/books/edition/Inteligencia_Artificial_en_la_Educaci%C3%B3n/vO_aEAAAQBAJ?hl=es&gbpv=1&dq=inteligencia+artificial+en+la+educacion&printsec=frontcoverOrganización Panamericana de la Salud, “COVID-19 Y TELEMEDICINA.” Accessed: Mar. 07, 2024. [Online]. Available: https://www3.paho.org/ish/index.php/es/telemedicineS. Monraz-Pérez et al., “Telemedicine during the covid-19 pandemic,” Neumologia y Cirugia de Torax(Mexico), vol. 80, no. 2, pp. 132–140, 2021, doi: 10.35366/100996.D. Lanzagorta-Ortega, D. L. Carrillo-Pérez, and R. Carrillo-Esper, “Artificial intelligence in medicine: present and future,” Gac Med Mex, vol. 158, pp. 55–59, Dec. 2022, doi: 10.24875/GMM.M22000688.Dental Tribune, “DT News - Latin America - La Inteligencia Artificial en la Odontología (2).” Accessed: Mar. 19, 2024. [Online]. Available: https://la.dental-tribune.com/news/la-inteligencia-artificial-en-la-odontologia-2/EUROINNOVA, “Ventajas y desventajas de la inteligencia artificial.” Accessed: Mar. 05, 2024. [Online]. Available: https://www.euroinnova.co/blog/latam/ventajas-y-desventajas-inteligencia-artificialPrisma, “PRISMA.” Accessed: Mar. 05, 2024. [Online]. Available: http://www.prisma-statement.org/?AspxAutoDetectCookieSupport=1K. Rabie, C. Karthik, S. Chowdhury, and P. Kumar Dutta, “Deep Learning in Medical Image Processing and Analysis,” 2021. [Online]. Available: https://www.theiet.org/publishing/publishing-with-iet-books/.P. Roongruangsilp and P. Khongkhunthian, “The learning curve of artificial intelligence for dental implant treatment planning: A descriptive study,” Applied Sciences (Switzerland), vol. 11, no. 21, Nov. 2021, doi: 10.3390/app112110159.S. Sai, A. Gaur, R. Sai, V. Chamola, M. Guizani, and J. J. P. C. Rodrigues, “Generative AI for Transformative Healthcare: A Comprehensive Study of Emerging Models, Applications, Case Studies, and Limitations,” IEEE Access, vol. 12, pp. 31078–31106, 2024, doi: 10.1109/ACCESS.2024.3367715.K. C. Li et al., “Detection of Tooth Position by YOLOv4 and Various Dental Problems Based on CNN With Bitewing Radiograph,” IEEE Access, vol. 12, pp. 11822–11835, 2024, doi: 10.1109/ACCESS.2023.3348788.S. Sarwar and S. 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