Arch Craniofac Surg.  2021 Oct;22(5):223-231. 10.7181/acfs.2021.00507.

Potential role of artificial intelligence in craniofacial surgery

  • 1Department of Plastic and Reconstructive Surgery, Kyungpook National University, Daegu, Korea
  • 2Cell & Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, Korea


The field of artificial intelligence (AI) is rapidly advancing, and AI models are increasingly applied in the medical field, especially in medical imaging, pathology, natural language processing, and biosignal analysis. On the basis of these advances, telemedicine, which allows people to receive medical services outside of hospitals or clinics, is also developing in many countries. The mechanisms of deep learning used in medical AI include convolutional neural networks, residual neural networks, and generative adversarial networks. Herein, we investigate the possibility of using these AI methods in the field of craniofacial surgery, with potential applications including craniofacial trauma, congenital anomalies, and cosmetic surgery.


Artificial intelligence / Neural networks, computer / Surgery, plastic
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