Al-Janabi Omar M, El Refaei Amro, Elgazzar Tasnim, Mahmood Yamama M, Bakir Danah, Gajjar Aryan, Alateya Aysha, Jha Saroj Kumar, Ghozy Sherief, Kallmes David F, Brinjikji Waleed
Department of Neurology, Baptist Health, Lexington, KY 40503, USA.
Department of Neurology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Brain Sci. 2024 Nov 26;14(12):1182. doi: 10.3390/brainsci14121182.
In recent years, artificial intelligence (AI) has emerged as a transformative tool for enhancing stroke diagnosis, aiding treatment decision making, and improving overall patient care. Leading AI-driven platforms such as RapidAI, Brainomix, and Viz.ai have been developed to assist healthcare professionals in the swift and accurate assessment of stroke patients.
Following the PRISMA guidelines, a comprehensive systematic review was conducted using PubMed, Embase, Web of Science, and Scopus. Characteristic descriptive measures were gathered as appropriate from all included studies, including the sensitivity, specificity, accuracy, and comparison of the available tools.
A total of 31 studies were included, of which 29 studies focused on detecting acute ischemic stroke (AIS) or large vessel occlusions (LVOs), and 2 studies focused on hemorrhagic strokes. The four main tools used were Viz.ai, RapidAI, Brainomix, and deep learning modules.
AI tools in the treatment of stroke have demonstrated usefulness for diagnosing different stroke types, providing high levels of accuracy and helping to make quicker and more precise clinical judgments.
近年来，人工智能（AI）已成为一种变革性工具，可用于加强中风诊断、辅助治疗决策制定以及改善整体患者护理。诸如RapidAI、Brainomix和Viz.ai等领先的人工智能驱动平台已被开发出来，以协助医疗保健专业人员对中风患者进行快速准确的评估。
遵循PRISMA指南，使用PubMed、Embase、科学网和Scopus进行了全面的系统评价。从所有纳入研究中酌情收集特征性描述性指标，包括可用工具的敏感性、特异性、准确性及比较情况。
共纳入31项研究，其中29项研究聚焦于检测急性缺血性中风（AIS）或大血管闭塞（LVO），2项研究聚焦于出血性中风。所使用的四种主要工具为Viz.ai、RapidAI、Brainomix和深度学习模块。
人工智能工具在中风治疗中已证明对诊断不同类型中风有用，具有较高的准确性，并有助于做出更快、更精确的临床判断。
