Machine-learning-based approach for predicting postoperative skeletal changes for orthognathic surgical planning.

Qingchuan Ma Etsuko KobayashiBowen FanKazuaki Hara Keiichi Nakagawa Ken Masamune Ichiro SakumaHideyuki Suenaga

Published in: The international journal of medical robotics + computer assisted surgery : MRCAS (2022)

This study demonstrated the feasibility of predicting postoperative skeletal changes for orthognathic surgical planning by using machine learning, showing great potential for reducing the workload of surgeons.

Keyphrases

machine learning
patients undergoing
risk assessment
climate change