The Accuracy of Ai-assisted Imaging Diagnosis Versus Conventional Evaluation of Dental Professionals
Year: 2025
Type: article
Abstract: The accurate detection of dental caries is crucial for effective treatment planning and prevention of disease progression.Artif icial 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 odontoperiodontal 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), hig hlighting 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.
Source: The Medical-Surgical Journal
Author: Oana BUTNARU
Language: English
Subfield: Oral Surgery
Field: Dentistry
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4415028952
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