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This review synthesizes recent advances in artificial intelligence\u2013augmented stroke care, spanning the continuum from diagnosis to intervention. We first examine artificial intelligence applications in diagnosis, including classification, object detection, and segmentation models that automate lesion localization and subtype identification across multimodal imaging. Advanced architectures, such as convolutional neural networks, transformers, and large language models, are assessed for their potential in multimodal stroke analysis. Beyond diagnosis, we discuss emerging artificial intelligence\u2013driven planning frameworks, extended reality simulators for training and intraoperative guidance, and robotic platforms that enable precise catheter navigation, force sensing, and telerobotic operation. While most systems remain at preclinical or feasibility stages, their integration illustrates a roadmap toward intelligent, multimodal platforms for stroke care. We also highlight key translational and ethical challenges, including regulatory and policy considerations, which must be addressed for safe adoption. Together, these developments point toward a future of precision-driven and globally accessible neurovascular intervention.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1161\/strokeaha.125.053121","type":"journal-article","created":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T10:00:16Z","timestamp":1765447216000},"page":"1097-1114","update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":3,"title":["Toward AI-Powered Neurovascular Intervention: From Imaging to XR-Robotic Convergence"],"prefix":"10.1161","volume":"57","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5804-6592","authenticated-orcid":true,"given":"Alisa","family":"Kunapinun","sequence":"first","affiliation":[{"name":"Harbor Branch Oceanographic Institute, Florida Atlantic University, Fort Pierce (A.K.)."},{"name":"Artificial Intelligence Center, Asian Institute of Technology, Pathum Thani, Thailand (A.K.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7522-164X","authenticated-orcid":true,"given":"Jackrit","family":"Suthakorn","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, Department of Biomedical Engineering (J.S.), Mahidol University, Nakorn Pathom, Thailand."},{"name":"Faculty of Engineering, Center for Biomedical and Robotics Technology (J.S., D. 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