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Artificial Intelligence in Dentistry: Past, Present, and Future
Artificial intelligence (AI) has remarkably increased its presence and significance in a wide range of sectors, including dentistry. It can mimic the intelligence of humans to undertake complex predictions and decision-making in the healthcare sector, particularly in endodontics. The models of AI, s...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9418762/ https://www.ncbi.nlm.nih.gov/pubmed/36046326 http://dx.doi.org/10.7759/cureus.27405 |
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author | Agrawal, Paridhi Nikhade, Pradnya |
author_facet | Agrawal, Paridhi Nikhade, Pradnya |
author_sort | Agrawal, Paridhi |
collection | PubMed |
description | Artificial intelligence (AI) has remarkably increased its presence and significance in a wide range of sectors, including dentistry. It can mimic the intelligence of humans to undertake complex predictions and decision-making in the healthcare sector, particularly in endodontics. The models of AI, such as convolutional neural networks and/or artificial neural networks, have shown a variety of applications in endodontics, including studying the anatomy of the root canal system, forecasting the viability of stem cells of the dental pulp, measuring working lengths, pinpointing root fractures and periapical lesions and forecasting the success of retreatment procedures. Future applications of this technology were considered in relation to scheduling, patient care, drug-drug interactions, prognostic diagnosis, and robotic endodontic surgery. In endodontics, in terms of disease detection, evaluation, and prediction, AI has demonstrated accuracy and precision. AI can aid in the advancement of endodontic diagnosis and therapy, which can enhance endodontic treatment results. However, before incorporating AI models into routine clinical operations, it is still important to further certify the cost-effectiveness, dependability, and applicability of these models. |
format | Online Article Text |
id | pubmed-9418762 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-94187622022-08-30 Artificial Intelligence in Dentistry: Past, Present, and Future Agrawal, Paridhi Nikhade, Pradnya Cureus Medical Education Artificial intelligence (AI) has remarkably increased its presence and significance in a wide range of sectors, including dentistry. It can mimic the intelligence of humans to undertake complex predictions and decision-making in the healthcare sector, particularly in endodontics. The models of AI, such as convolutional neural networks and/or artificial neural networks, have shown a variety of applications in endodontics, including studying the anatomy of the root canal system, forecasting the viability of stem cells of the dental pulp, measuring working lengths, pinpointing root fractures and periapical lesions and forecasting the success of retreatment procedures. Future applications of this technology were considered in relation to scheduling, patient care, drug-drug interactions, prognostic diagnosis, and robotic endodontic surgery. In endodontics, in terms of disease detection, evaluation, and prediction, AI has demonstrated accuracy and precision. AI can aid in the advancement of endodontic diagnosis and therapy, which can enhance endodontic treatment results. However, before incorporating AI models into routine clinical operations, it is still important to further certify the cost-effectiveness, dependability, and applicability of these models. Cureus 2022-07-28 /pmc/articles/PMC9418762/ /pubmed/36046326 http://dx.doi.org/10.7759/cureus.27405 Text en Copyright © 2022, Agrawal et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Medical Education Agrawal, Paridhi Nikhade, Pradnya Artificial Intelligence in Dentistry: Past, Present, and Future |
title | Artificial Intelligence in Dentistry: Past, Present, and Future |
title_full | Artificial Intelligence in Dentistry: Past, Present, and Future |
title_fullStr | Artificial Intelligence in Dentistry: Past, Present, and Future |
title_full_unstemmed | Artificial Intelligence in Dentistry: Past, Present, and Future |
title_short | Artificial Intelligence in Dentistry: Past, Present, and Future |
title_sort | artificial intelligence in dentistry: past, present, and future |
topic | Medical Education |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9418762/ https://www.ncbi.nlm.nih.gov/pubmed/36046326 http://dx.doi.org/10.7759/cureus.27405 |
work_keys_str_mv | AT agrawalparidhi artificialintelligenceindentistrypastpresentandfuture AT nikhadepradnya artificialintelligenceindentistrypastpresentandfuture |