Archives of Craniofacial Surgery (대한두개안면성형외과학회지)

Korean Cleft Palate-Craniofacial Association (대한두개안면성형외과학회)
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Potential role of artificial intelligence in craniofacial surgery

  • Ryu, Jeong Yeop (Department of Plastic and Reconstructive Surgery, School of Medicine, Kyungpook National University) ;
  • Chung, Ho Yun (Department of Plastic and Reconstructive Surgery, School of Medicine, Kyungpook National University) ;
  • Choi, Kang Young (Department of Plastic and Reconstructive Surgery, School of Medicine, Kyungpook National University)
  • Received : 2021.10.07
  • Accepted : 2021.10.20
  • Published : 2021.10.20
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Abstract

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.

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References

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