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Submitted February 18, 2025
Published 2025-02-21

Revisión bibliográfica

Vol. 5 No. 1 (2025): Contacto Científico

Use of artificial intelligence for the analysis of retroalveolar radiographs


DOI https://doi.org/10.48204/2710-7825.6930

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References
DOI: 10.48204/2710-7825.6930

Published: 2025-02-21

How to Cite

Saavedra , A., Chen , M., González , N., Byrne , S., & Barria , A. (2025). Use of artificial intelligence for the analysis of retroalveolar radiographs. Contacto Científico, 5(1), 50–65. https://doi.org/10.48204/2710-7825.6930

Abstract

Periapical radiography is a fundamental tool in dental diagnosis, providing detailed images of periapical structures and helping to identify pathologies associated with dental units. However, the analysis of these images can be subjective and dependent on the professional's experience, which can lead to variations in the diagnosis. Artificial intelligence (AI) is a branch of computer science that focuses on creating systems and algorithms capable of performing tasks that normally require human intelligence. This includes processes such as learning, reasoning and self-correction. AI allows machines to emulate human behaviors, improve their performance and make decisions based on identified patterns. This experimental descriptive research will introduce different periapical radiographs obtained on accessible AI platforms, including academic and dental databases.

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