In brief: recent reviews cover AI in cephalometric landmarking, segmentation, orthodontic treatment planning and remote monitoring. Real-world use still depends on external validation, interpretability, correction workflows and specialist oversight.

Why orthodontics is a natural AI domain

Orthodontics produces structured and image-rich data: cephalograms, panoramic radiographs, intraoral scans, facial photographs and serial measurements. This creates clear tasks for automation within the wider field of AI in dentistry.

Landmark detection and cephalometrics

Automated landmark detection can reduce tracing time, but average error can hide clinically important outliers. Different landmarks carry different consequences for measurements, so manual correction must remain available.

Segmentation and 3D analysis

AI can segment teeth and anatomical structures in scans, supporting digital workflows. Scanner type, resolution and anatomy can shift model performance, so quality control and local validation are important.

Treatment planning

A 2026 systematic review examined AI and knowledge-based systems for decisions including extraction, skeletal classification and treatment modality. Planning is more complex than classification because growth, periodontal status, compliance, aesthetics and patient preference matter. AI is best positioned as decision support rather than an autonomous treatment planner.

Remote monitoring

Serial patient images can support triage and monitoring, but home image quality varies. Safe systems need an “insufficient data” state and clear escalation for pain, swelling or appliance failure.

Evaluation checklist

  1. Define the exact task: landmarking, segmentation, planning or monitoring.
  2. Check age range, appliances and imaging protocols used in validation.
  3. Require clinician correction of landmarks and segmentation.
  4. Review landmark-level errors rather than only an average.
  5. Check behavior on low-quality images.
Design principle

Faster measurement is useful; removing specialist judgment is not the goal.

For the imaging foundation see AI in dental radiology. For the broader clinical context see AI in dental diagnosis and treatment.

Selected evidence

  1. AI in orthodontic treatment planning: systematic review, 2026.
  2. The impact of AI on orthodontics: systematic review, 2025.
  3. AI applications in orthodontics and dentofacial orthopedics, 2026.

Educational content only; it does not replace specialist assessment or treatment planning.