Artificial Intelligence for Neurosurgery : Current State and Future Directions

被引:8
|
作者
Noh, Sung Hyun [1 ,2 ]
Cho, Pyung Goo [1 ]
Kim, Keung Nyun [2 ,3 ]
Kim, Sang Hyun [1 ,5 ]
Shin, Dong Ah [2 ,3 ,4 ]
机构
[1] Ajou Univ, Dept Neurosurg, Coll Med, Suwon, South Korea
[2] Yonsei Univ, Dept Neurosurg, Coll Med, Seoul, South Korea
[3] Yonsei Univ, Severance Hosp, Spine & Spinal Cord Inst, Dept Neurosurg,Coll Med, Seoul, South Korea
[4] Yonsei Univ, Severance Hosp, Spine & Spinal Cord Inst, Dept Neurosurg,Coll Med, 50-1 Yonsei Ro, Seoul, South Korea
[5] Ajou Univ, Ajou Univ Hosp, Dept Neurosurg, Sch Med, 164 World cup ro, Suwon 16499, South Korea
关键词
Big data; Machine learning; Artificial intelligence; Robotics; LEARNING ALGORITHM; LOCALIZATION;
D O I
10.3340/jkns.2022.0130
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Artificial intelligence (AI) is a field of computer science that equips machines with human-like intelligence and enables them to learn, reason, and solve problems when presented with data in various formats. Neurosurgery is often at the forefront of innovative and disruptive technologies, which have similarly altered the course of acute and chronic diseases. In diagnostic imaging, such as X-rays, computed tomography, and magnetic resonance imaging, AI is used to analyze images. The use of robots in the field of neurosurgery is also increasing. In neurointensive care units, AI is used to analyze data and provide care to critically ill patients. Moreover, AI can be used to predict a patient's prognosis. Several AI applications have already been introduced in the field of neurosurgery, and many more are expected in the near future. Ultimately, it is our responsibility to keep pace with this evolution to provide meaningful outcomes and personalize each patient's care. Rather than blindly relying on AI in the future, neurosurgeons should gain a thorough understanding of it and use it to enhance their patient care.
引用
收藏
页码:113 / 120
页数:8
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