Implementation of machine learning models as a quantitative evaluation tool for preclinical studies in dental education

Although deep machine learning is a promising tool in the evaluation of haptic skills, further improvement and alignments are required for fully objective and reliable validation in all cases of dental training in restorative dentistry.

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Publication Details

Journal
Journal of Dental Education
Published
2024-09-26
DOI
https://doi.org/10.1002/jdd.13722
Citations
2
Primary Topic
Dental Research and COVID-19
Type
article
Field-Weighted Citation Impact
1.71
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article

Implementation of machine learning models as a quantitative evaluation tool for preclinical studies in dental education

Hande Kemaloğlu, Cem Peşkersoy, Elif Ercan Devrimci, Aybeniz Oguzhan et al.
2 citations
Journal of Dental Education
Dental Research and COVID-19
1.71
article

Implementation of machine learning models as a quantitative evaluation tool for preclinical studies in dental education

Hande Kemaloğlu, Cem Peşkersoy, Elif Ercan Devrimci, Aybeniz Oguzhan, Tolga Kagan Onder
article en
2 citations

Abstract

Although deep machine learning is a promising tool in the evaluation of haptic skills, further improvement and alignments are required for fully objective and reliable validation in all cases of dental training in restorative dentistry.

Journal of Dental EducationVol. 89(3)
Ege University (TR)
Quality Education
Openalex Percentile: Top 13%
Dental Research and COVID-19
1.71
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