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- Title
Efficacy of the methods of age determination using artificial intelligence in panoramic radiographs — a systematic review.
- Authors
Niño-Sandoval, Tania Camila; Doria-Martinez, Ana Milena; Escobar, Ruby Amparo Vásquez; Sánchez, Elizabeth Llano; Rojas, Isabella Bermón; Álvarez, Laura Cristina Vargas; Mc Cann, David Stephen Fernandez; Támara-Patiño, Liliana Marcela
- Abstract
The aim of this systematic review is to analyze the literature to determine whether the methods of artificial intelligence are effective in determining age in panoramic radiographs. Searches without language and year limits were conducted in PubMed/Medline, Embase, Web of Science, and Scopus databases. Hand searches were also performed, and unpublished manuscripts were searched in specialized journals. Thirty-six articles were included in the analysis. Significant differences in terms of root mean square error and mean absolute error were found between manual methods and artificial intelligence techniques, favoring the use of artificial intelligence (p < 0.00001). Few articles compared deep learning methods with machine learning models or manual models. Although there are advantages of machine learning in data processing and deep learning in data collection and analysis, non-comparable data was a limitation of this study. More information is needed on the comparison of these techniques, with particular emphasis on time as a variable.
- Subjects
ARTIFICIAL intelligence; MACHINE learning; STANDARD deviations; RADIOGRAPHS; DEEP learning
- Publication
International Journal of Legal Medicine, 2024, Vol 138, Issue 4, p1459
- ISSN
0937-9827
- Publication type
Article
- DOI
10.1007/s00414-024-03162-x