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Comparative evaluation of commercially available AI-based cephalometric tracing programs.
Nida Baig1, Kabir Syed Gyasudeen1, Tanmoy Bhattacharjee2
1Department of Orthodontics, Hamdan Bin Mohammed College of Dental Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.
BMC Oral Health
|October 18, 2024
Summary
Three AI cephalometric tracing software programs showed inaccuracies compared to human experts. Clinicians should use caution with AI analysis for orthodontic treatment planning.
Area of Science:
- Dentistry
- Orthodontics
- Artificial Intelligence in Medicine
Background:
- Lateral cephalometric radiography is crucial for orthodontic diagnosis and treatment planning.
- AI-based software offers potential for automating cephalometric analysis.
Purpose of the Study:
- To compare the accuracy and diagnostic concordance of three commercial AI-based lateral cephalometric tracing software.
- To evaluate the reliability of AI software against human expert measurements.
Main Methods:
- Sixty-three lateral cephalometric radiographs were analyzed using semi-automatic and three AI-based software programs.
- Intra- and inter-observer reliability were assessed for human experts.
- Repeated-measures one-way ANOVA compared AI and human expert measurements.
Main Results:
- Human expert reliability was excellent (ICC > 0.9) for most parameters.
- All three AI programs showed significant differences compared to human experts (WebCeph™: 10/11, Cephio: 7/11, Ceppro DDH Inc.: 7/11 measurements).
- Variations exceeding two units were common, impacting skeletal, dental, and soft tissue assessments.
Conclusions:
- AI-based cephalometric tracing software demonstrated inaccuracies and lacked reliability.
- Clinicians should exercise caution when relying solely on AI analyses for orthodontic treatment planning.
