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Comparative evaluation of commercially available AI-based cephalometric tracing programs.

Authors :
Baig, Nida
Gyasudeen, Kabir Syed
Bhattacharjee, Tanmoy
Chaudhry, Jahanzeb
Prasad, Sabarinath
Source :
BMC Oral Health; 10/18/2024, Vol. 24 Issue 1, p1-8, 8p
Publication Year :
2024

Abstract

Objectives: Compare the accuracy and diagnostic concordance of three commercially available AI-based lateral cephalometric tracing software. Materials and methods: Sixty-three lateral cephalometric radiographs were analyzed using semi-automatic (Dolphin Imaging Systems LLC) and AI-based software programs (WebCeph™, Cephio, and Ceppro DDH Inc.). Intra- and inter-observer reliability were assessed for human expert measurements, and repeated-measures one-way ANOVA was used to compare the AI and human expert measurements. The diagnostic performance was evaluated using sensitivity and specificity tests. Results: Human expert reliability was excellent (ICC > 0.9) for most cephalometric parameters. Compared to human experts, significant differences were observed for all three AI-based cephalometric programs (WebCeph™ – 10 of 11, Cephio – 7 of 11, and Ceppro DDH Inc. – 7 of 11 cephalometric measurements). Variations exceeding two units were noted for most parameters, and differences in defining the sagittal and vertical skeletal patterns, dental, and soft tissue characteristics were observed. Conclusion: All three AI-based tracing programs showed inaccuracies compared to human expert measurements and lacked reliability in measuring key cephalometric parameters. Clinicians should exercise caution when relying solely on AI-based analyses for orthodontic treatment planning and assessment. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14726831
Volume :
24
Issue :
1
Database :
Complementary Index
Journal :
BMC Oral Health
Publication Type :
Academic Journal
Accession number :
180368644
Full Text :
https://doi.org/10.1186/s12903-024-05032-9