AI Efficiency in Dentistry: Comparing Artificial Intelligence Systems with Human Practitioners in Assessing Several Periodontal Parameters DOI Creative Commons
Oana Butnaru, Monica Tatarciuc, Ionuț Luchian

et al.

Medicina, Journal Year: 2025, Volume and Issue: 61(4), P. 572 - 572

Published: March 23, 2025

Artificial intelligence (AI) is increasingly used in healthcare, including dental and periodontal diagnostics, due to its ability analyze complex datasets with speed precision. Backgrounds Objectives: This study aimed evaluate the reliability of AI-assisted dental–periodontal diagnoses compared made by senior specialists, general dentists. Material Methods: A comparative was conducted involving 60 practitioners divided into three groups—general dentists, specialists—along an AI diagnostic system (Planmeca Romexis 6.4.7.software). Participants evaluated six high-quality panoramic radiographic images representing various conditions. Diagnoses were against a reference “gold standard” validated imaging expert clinician. statistical analysis performed using SPSS 26.0, applying chi-square tests, ANOVA, Bonferroni correction ensure robust results. Results: AI’s consistency identifying subtle conditions comparable that while dentists showed greater variability their evaluations. The key findings revealed specialists consistently demonstrated highest performance detecting attachment loss alveolar bone loss, achieving mean score 6.12 teeth 5.43 for 4.58 3.65 ANOVA highlighted statistically significant differences between groups, particularly detection on maxillary arch (F = 3.820, p 0.014). Additionally, high specialists. Conclusions: systems exhibit potential as reliable tools assessment, complementing expertise human practitioners. However, further validation clinical settings necessary address limitations such algorithmic bias atypical cases. integration dentistry can enhance precision patient outcomes reducing assessments.

Language: Английский

AI Efficiency in Dentistry: Comparing Artificial Intelligence Systems with Human Practitioners in Assessing Several Periodontal Parameters DOI Creative Commons
Oana Butnaru, Monica Tatarciuc, Ionuț Luchian

et al.

Medicina, Journal Year: 2025, Volume and Issue: 61(4), P. 572 - 572

Published: March 23, 2025

Artificial intelligence (AI) is increasingly used in healthcare, including dental and periodontal diagnostics, due to its ability analyze complex datasets with speed precision. Backgrounds Objectives: This study aimed evaluate the reliability of AI-assisted dental–periodontal diagnoses compared made by senior specialists, general dentists. Material Methods: A comparative was conducted involving 60 practitioners divided into three groups—general dentists, specialists—along an AI diagnostic system (Planmeca Romexis 6.4.7.software). Participants evaluated six high-quality panoramic radiographic images representing various conditions. Diagnoses were against a reference “gold standard” validated imaging expert clinician. statistical analysis performed using SPSS 26.0, applying chi-square tests, ANOVA, Bonferroni correction ensure robust results. Results: AI’s consistency identifying subtle conditions comparable that while dentists showed greater variability their evaluations. The key findings revealed specialists consistently demonstrated highest performance detecting attachment loss alveolar bone loss, achieving mean score 6.12 teeth 5.43 for 4.58 3.65 ANOVA highlighted statistically significant differences between groups, particularly detection on maxillary arch (F = 3.820, p 0.014). Additionally, high specialists. Conclusions: systems exhibit potential as reliable tools assessment, complementing expertise human practitioners. However, further validation clinical settings necessary address limitations such algorithmic bias atypical cases. integration dentistry can enhance precision patient outcomes reducing assessments.

Language: Английский

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