Recent Outcomes and Challenges of Artificial Intelligence, Machine Learning, and Deep Learning in Neurosurgery

被引：19

作者：

Awuah, Wireko Andrew ^{[1
]}

Adebusoye, Favour Tope ^{[1
]}

Wellington, Jack ^{[2
]}

David, Lian ^{[3
]}

Salam, Abdus ^{[4
]}

Yee, Amanda Leong Weng ^{[5
]}

Lansiaux, Edouard ^{[6
]}

Yarlagadda, Rohan ^{[7
]}

Garg, Tulika ^{[8
]}

Abdul-Rahman, Toufik ^{[1
]}

Kalmanovich, Jacob ^{[9
]}

Miteu, Goshen David ^{[10
]}

Kundu, Mrinmoy ^{[11
]}

Mykolaivna, Nikitina Iryna ^{[1
]}

机构：

[1] Sumy State Univ, Sumy, Ukraine

[2] Cardiff Univ, Sch Med, Cardiff, Wales

[3] Univ East Anglia, Norwich Med Sch, Norwich, England

[4] Khyber Teaching Hosp, Dept Surg, Peshawar, Pakistan

[5] Univ Malaya, Kuala Lumpur, Malaysia

[6] Lille Univ, Sch Med, Lille, France

[7] Rowan Univ, Sch Osteopath Med, Stratford, NJ USA

[8] Govt Med Coll & Hosp, Chandigarh, India

[9] Drexel Univ, Coll Med, Philadelphia, PA USA

[10] Univ Nottingham, Sch Biosci, Nottingham, England

[11] Inst Med Sci & SUM Hosp, Bhubaneswar, India

来源：

WORLD NEUROSURGERY-X | 2024年 / 23卷

关键词：

Neurosurgery; Artificial intelligence; Machine learning; Deep learning; Virtual reality; CLASSIFICATION; INTEGRATION; SURVIVAL; DISEASES; SPINE; CARE;

D O I：

10.1016/j.wnsx.2024.100301

中图分类号：

R74 [神经病学与精神病学];

学科分类号：

摘要：

Neurosurgeons receive extensive technical training, which equips them with the knowledge and skills to specialise in various fields and manage the massive amounts of information and decision-making required throughout the various stages of neurosurgery, including preoperative, intraoperative, and postoperative care and recovery. Over the past few years, artificial intelligence (AI) has become more useful in neurosurgery. AI has the potential to improve patient outcomes by augmenting the capabilities of neurosurgeons and ultimately improving diagnostic and prognostic outcomes as well as decision-making during surgical procedures. By incorporating AI into both interventional and non-interventional therapies, neurosurgeons may provide the best care for their patients. AI, machine learning (ML), and deep learning (DL) have made significant progress in the field of neurosurgery. These cutting-edge methods have enhanced patient outcomes, reduced complications, and improved surgical planning.

引用

页数：9

共 78 条

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