Artificial Intelligence in Facial Plastics and Reconstructive Surgery

被引:0
|
作者
Park, Ki Wan [1 ]
Diop, Mohamed [1 ]
Willens, Sierra Hewett [1 ]
Pepper, Jon-Paul [1 ]
机构
[1] Stanford Univ, Sch Med, Dept Otolaryngol Head & Neck Surg, 801 Welch Rd, Palo Alto, CA 94305 USA
关键词
Artificial intelligence; Deep learning; Machine learning; Facial plastic and reconstructive surgery; CLASSIFICATION; CRANIOSYNOSTOSIS; RELIABILITY; CANCER; LEVEL;
D O I
10.1016/j.otc.2024.05.002
中图分类号
R76 [耳鼻咽喉科学];
学科分类号
100213 ;
摘要
AI application in FPRS spans various domains, including automated evaluation of facial palsy, preoperative planning using predictive models, and objective assessment of post-operative outcomes. Notably, AI tools have improved the objectivity in facial assessments, contributing to more precise surgical planning and better patient outcomes. In clinical practice, AI is enhancing efficiency by streamlining administrative tasks like documentation and appointment scheduling, thereby improving overall health care delivery. Prior to widespread integration in the clinical setting, issues such as algorithmic bias, ethical considerations, and need for validation must be addressed.
引用
收藏
页码:843 / 852
页数:10
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