craniofacial surgery
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FACE ◽  
2021 ◽  
pp. 273250162110675
Author(s):  
Sara A. Neimanis ◽  
Joseph K. Williams ◽  
Colin M. Brady

2021 ◽  
Vol 149 (1) ◽  
pp. 183-195
Author(s):  
Connor McGuire ◽  
Colton Boudreau ◽  
Neetin Prabhu ◽  
Paul Hong ◽  
Michael Bezuhly

2021 ◽  
Vol 22 (5) ◽  
pp. 223-231
Author(s):  
Jeong Yeop Ryu ◽  
Ho Yun Chung ◽  
Kang Young Choi

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.


Author(s):  
Joris J.B. van der Vlugt ◽  
Robert R.J. Coebergh van den Braak ◽  
Jacques J.M.N. van der Meulen ◽  
Steven E.R. Hovius ◽  
Frank C. Verhulst ◽  
...  

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Sumun Khetpal ◽  
Sarah Phillips ◽  
Yassmin Parsaei ◽  
Connor Peck ◽  
Joseph Lopez ◽  
...  

2021 ◽  
Vol 148 (3) ◽  
pp. 475e-486e
Author(s):  
Evan B. Lynch ◽  
W. Matthew Anderson ◽  
Ryan C. DeCoster ◽  
Alisha R. Bonaroti ◽  
Krishna S. Vyas ◽  
...  

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Banu Kilicaslan ◽  
Ozgur Canbay ◽  
Alev Saylan ◽  
Seda Banu Akinci ◽  
Gokhan Tuncbilek ◽  
...  

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