Response to comments on AI cephalometric landmarking study

Area of Science:

• Dentistry
• Medical Imaging
• Artificial Intelligence

Background:

• Cephalometric landmark identification is crucial for orthodontic diagnosis and treatment planning.
• The integration of artificial intelligence (AI) into cephalometric analysis offers potential for improved efficiency and accuracy.
• Expert-based manual identification remains the traditional standard, but is subject to inter-observer variability.

Purpose of the Study:

• To respond to criticisms regarding a study comparing AI and expert cephalometric landmark identification.
• To clarify issues of image resolution, reproducibility, manual-AI comparison, and data transparency in AI-based cephalometric analysis.

Main Methods:

• The study involved a comparative analysis of AI software and orthodontist experts in identifying cephalometric landmarks.
• Specific attention was given to addressing concerns related to image resolution and the reproducibility of results.
• The comparison between manual and AI-driven methods was critically re-evaluated, alongside data transparency protocols.

Main Results:

• The response clarifies that the study's methodology adequately addressed image resolution and reproducibility concerns.
• It reaffirms the validity of the manual-AI comparison, highlighting the robustness of the findings.
• Data transparency was maintained, ensuring the integrity of the research.

Conclusions:

• The study's findings on AI versus expert cephalometric landmark identification remain valid despite raised concerns.
• The response reinforces the potential of AI in cephalometric analysis while acknowledging the importance of methodological rigor.
• Further research and transparent reporting are encouraged in the field of AI in orthodontics.