Mofatteh Mohammad
Sir William Dunn School of Pathology, Medical Sciences Division, University of Oxford, South Parks Road, Oxford OX1 3RE, United Kingdom.
Lincoln College, University of Oxford, Turl Street, Oxford OX1 3DR, United Kingdom.
AIMS Neurosci. 2021 Aug 6;8(4):477-495. doi: 10.3934/Neuroscience.2021025. eCollection 2021.
Neurosurgeons receive extensive and lengthy training to equip themselves with various technical skills, and neurosurgery require a great deal of pre-, intra- and postoperative clinical data collection, decision making, care and recovery. The last decade has seen a significant increase in the importance of artificial intelligence (AI) in neurosurgery. AI can provide a great promise in neurosurgery by complementing neurosurgeons' skills to provide the best possible interventional and noninterventional care for patients by enhancing diagnostic and prognostic outcomes in clinical treatment and help neurosurgeons with decision making during surgical interventions to improve patient outcomes. Furthermore, AI is playing a pivotal role in the production, processing and storage of clinical and experimental data. AI usage in neurosurgery can also reduce the costs associated with surgical care and provide high-quality healthcare to a broader population. Additionally, AI and neurosurgery can build a symbiotic relationship where AI helps to push the boundaries of neurosurgery, and neurosurgery can help AI to develop better and more robust algorithms. This review explores the role of AI in interventional and noninterventional aspects of neurosurgery during pre-, intra- and postoperative care, such as diagnosis, clinical decision making, surgical operation, prognosis, data acquisition, and research within the neurosurgical arena.
神经外科医生要接受广泛而漫长的培训，以掌握各种技术技能，而且神经外科手术需要大量术前、术中和术后的临床数据收集、决策、护理和康复工作。在过去十年中，人工智能（AI）在神经外科领域的重要性显著增加。人工智能可以通过补充神经外科医生的技能，在临床治疗中提高诊断和预后结果，为患者提供尽可能最佳的介入性和非介入性护理，并在手术干预期间帮助神经外科医生进行决策以改善患者预后，从而在神经外科领域展现出巨大的前景。此外，人工智能在临床和实验数据的生成、处理和存储方面发挥着关键作用。在神经外科中使用人工智能还可以降低与手术护理相关的成本，并为更广泛的人群提供高质量的医疗服务。此外，人工智能和神经外科可以建立一种共生关系，即人工智能有助于拓展神经外科的边界，而神经外科可以帮助人工智能开发更好、更强大的算法。本综述探讨了人工智能在神经外科术前、术中和术后护理的介入性和非介入性方面所起的作用，例如诊断、临床决策、手术操作、预后、数据采集以及神经外科领域内的研究。
