INVESTIGATING THE VARIABILITY IN ROOT CANAL FILLING QUALITY EVALUATIONS AMONG ENDODONTIST, RADIOLOGIST AND ARTIFICIAL INTELLIGENCE IN PERIAPICAL AND PANORAMIC RADIOGRAPHS. | ||
| Egyptian Dental Journal | ||
| Volume 70, Issue 4 - Serial Number 5, October 2024, Pages 3869-3877 PDF (1.78 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/edj.2024.302129.3104 | ||
| Authors | ||
| Sabah Morad Sobhy* 1; shereen Fathy Ahmed2 | ||
| 1Lecturer of Endodontics,Endodontic Department, Faculty of Dental Medicine for Girls, Al-Azhar University, Cairo, Egypt | ||
| 2Lecturer of Oral Radiology, Oral Medicine and Periodontology Department, Faculty of Dentistry, October 6 University | ||
| Abstract | ||
| ABSTRACT Purpose: The research was conducted to evaluate the differences in the assessment of root canal filling quality among endodontists, radiologists and AI technology (Thakaamed Detect) in periapical and panoramic radiographs. Methodology: The study included three groups; Group 1: Endodontist assessed 500 periapical and 500 panoramic radiographs. Group 2: Radiologist assessed the same set of 500 periapical and 500 panoramic radiographs. Group 3: AI model (Thakaamed Detect) assessed the same set of 500 periapical and 500 panoramic radiographs after manual evaluations by the endodontist and radiologist. The radiographs were randomly assigned, and the assessors were blinded to each other's evaluations. After manual evaluations, the same radiographs were uploaded to the AI tool (Thakaamed Detect) for assessment. This tool was developed to store and process dental images. Thakaamed Detect generated a report for each radiograph, identifying the quality of the root canal fillings. AI results were compared to manual evaluations to determine differences in assessment of root canal filling quality. Data was statistically analyzed using ANOVA test, followed by Bonferroni’s post-hoc test. Kappa statistic was used to assess agreement between Endodontist, Radiologist and AI. Results: There was statistical significant difference between evaluation of root canal filling quality by Endodontist, Radiologist and AI. highest quality of root canal filling was evaluated by Endodontist. Radiologist reported statistically significantly lower quality. AI reported the statistically significantly lowest root canal filling quality. Conclusion: This study has shown significant variability in root canal filling quality assessments among endodontists, radiologists and AI in periapical and panoramic radiographs. | ||
| Keywords | ||
| KEYWORDS: Artificial intelligence; panoramic radiographs; periapical radiographs; root canal filling; variability | ||
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