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神经外科人工智能:从过去到未来的最先进技术审查

Jonathan A Tangsrivimol^1,2, Ethan Schonfeld³, Michael Zhang⁴

¹Division of Neurosurgery, Department of Surgery, Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok 10210, Thailand.

Diagnostics (Basel, Switzerland)

|July 29, 2023

概括

人工智能 (AI) 正在通过改善诊断,手术精度和患者护理来改变神经外科. 机器学习 (ML) 应用程序在神经外科专业中显示出显著的潜力,提高了结果.

科学领域:

神经外科神经外科
医疗人工智能医疗人工智能
机器学习应用机器学习应用

背景情况:

人工智能 (AI) 的采用正在医学领域迅速增加,包括神经外科等专业领域.
人工智能工具正在用于诊断,术前规划和提高外科准确性.
这些应用旨在减少手术内和手术后的并发症,并改善患者的康复.

研究的目的:

提供关于神经外科人工智能应用的关键研究概述.
专注于人工智能在治疗瘤,脊柱,和血管神经外科问题的作用.
总结机器学习 (ML) 应用程序,以帮助临床医生理解和未来采用.

主要方法:

通过PubMed和谷歌学者识别高度引用的开创性论文.
综合审查与神经外科人工智能相关的各种研究类型.
机器学习技术及其神经外科应用的总结.

主要成果:

机器学习在神经瘤学,脊柱手术和管理方面显示出重大潜力.
ML技术对于瘤识别,预测手术和发作的结果,以及动脉瘤检测是有效的.
人工智能增强了各种神经外科领域的患者管理和结果.

结论:

人工智能和机器学习将对神经外科患者的护理和结果产生重大影响.
目前的研究强调了人工智能在诊断,预测和外科手术增强方面的有效性.
人工智能的未来整合有望在神经外科手术领域取得进一步的进步.

关键词:

卷积神经网络 (CNN) 是一种神经网络.经常性的神经网络 (RNN)人工神经网络 (ANN) 的人工神经网络人工智能 (AI) 是一种人工智能.深度学习 (DL) 是指深度学习.机器学习 (ML) 是指机器学习.神经外科神经外科手术

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