Romero MBR

Language: Spanish
References: 6
Page: 321-324
PDF size: 291.95 Kb.

ABSTRACT

Introduction: artificial intelligence (AI) has shown significant potential in dental education and research, facilitating accurate diagnoses, data analysis, and personalized learning at undergraduate and graduate levels. Objective: to conduct a meta-analysis of major AI platforms used in dental research and education, assessing their impact and effectiveness. Material and methods: a review of 63 studies published between 2015 and 2024 on the use of AI platforms in dentistry was conducted. The selected studies were categorized into three main areas: image analysis, clinical data management, and adaptive learning. Results: artificial intelligence platforms were found to improve diagnostic accuracy in image analysis, optimize clinical data management, and personalize learning in educational environments. However, implementation faces challenges related to training and adaptation in traditional educational systems. Conclusions: artificial intelligence platforms represent a valuable resource for dental education and research. With proper integration, they can transform dental academic training, promoting a data-driven approach and increased efficiency.

REFERENCES

1. Cacñahuaray-Martínez G, Gómez-Meza D, Lamas-Lara V, Guerrero ME. Aplicación de la inteligencia artificial en Odontología: revisión de la literatura. Odontología Sanmarquina. 2021; 24 (3): 243-253. Disponible en: https://doi.org/10.15381/os.v24i3.20512

2. Sarwar S, Jabin S. AI techniques for cone beam computed tomography in dentistry: trends and practices. arXiv preprint arXiv: 2023; 2306.03025. Available in: https://arxiv.org/abs/2306.03025

3. Brahmi W, Jdey I, Drira F. Exploring the role of convolutional neural networks (CNN) in dental radiography segmentation: a comprehensive systematic literature review. arXiv preprint arXiv. 2024; 108510. Available in: https://arxiv.org/abs/2401.09190

4. Farhadi Nia M, Ahmadi M, Irankhah E. Transforming dental diagnostics with artificial intelligence: advanced integration of ChatGPT and large language models for patient care. 2024; arXiv preprint arXiv:2406.06616. Available in: https://arxiv.org/abs/2406.06616

5. Castillo-Pedraza M, Obispo-Salazar K, Wilches-Visbal J. Impacto de la inteligencia artificial en la odontología: una reflexión. Ustasalud 2024; 23 (1). Disponible en: https://dialnet.unirioja.es/descarga/articulo/9763803.pdf

6. Cieza BPE. Inteligencia artificial aplicada en la odontología: revisión sistemática de la literatura. [Tesis de pregrado] Universidad Católica Santo Toribio de Mogrovejo, Chiclayo, Perú. 2020. Disponible en: http://hdl.handle.net/20.500.12423/4264