Evaluating the Accuracy of Deep Learning Models and Dental Postgraduate Students in Measuring Working Length on Intraoral Periapical X-rays: An In vitro Study

Deep learning models show great potential in enhancing precision and reliability for working length determination in endodontics. With further refinement, these models can effectively complement human expertise in dental radiographic interpretation.

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Publication Details

Journal
Contemporary Clinical Dentistry
Published
2025-01-01
DOI
https://doi.org/10.4103/ccd.ccd_274_24
Citations
1
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
1.79
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article

Evaluating the Accuracy of Deep Learning Models and Dental Postgraduate Students in Measuring Working Length on Intraoral Periapical X-rays: An In vitro Study

RS Basavanna, NM Dhanyakumar, Jyoti Joshi, Ishaan Adhaulia
1 citations
Contemporary Clinical Dentistry
Dental Radiography and Imaging
1.79
article

Evaluating the Accuracy of Deep Learning Models and Dental Postgraduate Students in Measuring Working Length on Intraoral Periapical X-rays: An In vitro Study

RS Basavanna, NM Dhanyakumar, Jyoti Joshi, Ishaan Adhaulia
article en
1 citations

Abstract

Deep learning models show great potential in enhancing precision and reliability for working length determination in endodontics. With further refinement, these models can effectively complement human expertise in dental radiographic interpretation.

Contemporary Clinical DentistryVol. 16(1)
Bapuji Dental College and Hospital (IN)
Openalex Percentile: Top 19%
Dental Radiography and Imaging
1.79
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