Application of machine learning for data analysis in paediatric dentistry: a systematic review.

ML algorithms can identify patterns in large datasets, enhancing approaches to paediatric oral diseases. Their integration into research and educational programs is recommended. Methodological guidelines and quality scales specific to such studies are necessary for improved scientific evidence.

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Publication Details

Journal
PubMed
Published
2025-05-01
DOI
https://doi.org/10.23804/ejpd.2025.2288
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Application of machine learning for data analysis in paediatric dentistry: a systematic review.

Amparo Pérez‐Silva, Antonio José Ortiz Ruiz, Inmaculada Gómez-Ríos, Clara Serna‐Muñoz et al.
PubMed
Dental Radiography and Imaging
article

Application of machine learning for data analysis in paediatric dentistry: a systematic review.

Amparo Pérez‐Silva, Antonio José Ortiz Ruiz, Inmaculada Gómez-Ríos, Clara Serna‐Muñoz, V Saura-López
article en

Abstract

ML algorithms can identify patterns in large datasets, enhancing approaches to paediatric oral diseases. Their integration into research and educational programs is recommended. Methodological guidelines and quality scales specific to such studies are necessary for improved scientific evidence.

PubMed
Universidad de Murcia (ES)
Openalex Percentile: Top 84%
Dental Radiography and Imaging
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