·ùÁ¤¿±(Ryu Jeong-Yeop) - Kyungpook National University School of Medicine Department of Plastic and Reconstructive Surgery
Á¤È£À±(Chung Ho-Yun) - Kyungpook National University School of Medicine Department of Plastic and Reconstructive Surgery
ÃÖ°¿µ(Choi Kang-Young) - Kyungpook National University School of Medicine Department of Plastic and Reconstructive Surgery
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.
Å°¿öµå
Artificial intelligence, Neural networks, computer, Surgery, plastic
¿ø¹® ¹× ¸µÅ©¾Æ¿ô Á¤º¸
µîÀçÀú³Î Á¤º¸
À¯È¿¼º°á°ú(Recomendation)
This review article 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.