THE ACCURACY OF AI-ASSISTED IMAGING DIAGNOSIS VERSUS CONVENTIONAL EVALUATION OF DENTAL PROFESSIONALS
DOI:
https://doi.org/10.22551/3qash186Abstract
The accurate detection of dental caries is crucial for effective treatment planning and prevention of disease progression. Artificial intelligence (AI) has emerged as a valuable tool in odonto-periodontal imaging, offering potential improvements in diagnostic accuracy compared to traditional methods employed by dental professionals. This study aimed to compare the accuracy of AI-assisted odonto-periodontal imaging in detecting dental caries with diagnoses established by general dentists, specialists, and senior specialists. Materials and methods: A comparative analytical study was conducted on a sample of 60 dentists categorized into three professional groups-general dentists, specialists, and senior specialists-alongside AI diagnostics using the Planmeca Romexis platform. Results: High-quality panoramic radiographs (OPG) representing various carious lesions were analyzed independently by all participants. Statistical analysis was performed using SPSS version 26.0, employing chi-square and ANOVA tests to assess differences among groups. Senior specialists and AI reported the highest number of detected lesions, with AI demonstrating a lower standard deviation, indicating greater consistency. The ANOVA test confirmed significant differences in caries detection across groups (F=18.849, p<.001), highlighting the superior diagnostic performance of AI. Conclusions: This study demonstrates the significant advantages of AI-assisted diagnostic tools in dental-periodontal imaging, particularly in the detection of carious lesions
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