AI and Imaging. Podcast Topic Summary AAO 2022

orthodontics In summary

Join me for a summary of this years American Association Meeting from the summer looking at AI and imaging. The topics covered at CBCT the facts, use in transverse and incidental findings. Other topics of facial imaging or 4D as a diagnostic tool. Finally looking at AI, its application currently and potential use of blockchain technology in orthodontics.

CBCT Shaza Mardini

Myths

• It is new developed 1990s, used 2001
• Dose is too high – now just over the dosage of cephalogram and OPG, as low as 46uSv Buckley 2018 – 5 hour flight
  • Children sensitive due to growth
  • ALARA, ALADA to bear in mind

Accuracy

• Small deviation of true size compared to 2D images Gregory 2004
• Panoramic = not accurate and only screening tool Lione 2000

Asymmetry

• Accurate measurements for bilateral structure is possible
• Degenerative changes in condyle is often responsible for open bite which can be detected by
• Example of twins wherein one child with condylar degenerative issue had retro gnathic mandible leading to malocclusion

CBCT and Transverse assessment Onur Kadioglu

PA Ceph should not be utilized for transverse discrepancy. {Cheung et al Aust orthod 2013}

CBCT as gold standard and compared PA ceph to it and has quoted that it has

• ↓False positives and high degree of sensitivity and specificity
• Correctly predicts 88.7% of crossbite; 91.25% no crossbites.

landmark system for transverse measurements using CBCT images. Onur Kadioglu

• Maxillary teeth Trifurcation of molar (less likely to change in angulation changes)
• mandibular teeth midpoint of root
  • 20 mm discrepancy = crossbite

Used transverse discrepancy limit of 20mm to assess the outcomes of cases.

Incidental findings with CBCT Onur Kadioglu

Facial imaging William Harrell

2D Vs 3D Vs 4D

• 2D helps to precisely measure INACCURACY and its reproducible
• Accurate in 3D space; one needs to be careful in locating landmarks
• 4D imaging allows us to have shape analysis of a structure in dynamic state with aid of colour coding

Study’s on facial imaging 3D

AI Veerasathpurush Allareddy

1. Big data landscape –

2. Machine learning (subfield of Artificial Intelligence)–

AI and craniofacial genomics –

Blockchain Technology –

Orthodontics in Review Blog: Direct to Print Aligners: Björn Ludwig

www.orthodonticsinsummary/blog

Contents: Shanya Kapoor

Editing and Production: Farooq Ahmed