{"title":"[神经内血管手术中的实时人工智能辅助]。","authors":"Kenichi Kono","doi":"10.11477/mf.030126030530020340","DOIUrl":null,"url":null,"abstract":"<p><p>In neuroendovascular surgery, operators must manipulate devices, such as microcatheters and guidewires, with millimeter precision while simultaneously monitoring multiple areas across up to four radiography monitors. Although both operators and assistants maintain careful observation, any oversight can lead to serious complications. To address this challenge, we have developed a real-time assistance system using artificial intelligence (AI). This paper discusses the practical experience, current challenges, and future prospects of the intraoperative real-time AI assistance system implemented in Japan.</p>","PeriodicalId":35984,"journal":{"name":"Neurological Surgery","volume":"53 2","pages":"340-348"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Real-Time Artificial Intelligence Assistance in Neuroendovascular Surgery].\",\"authors\":\"Kenichi Kono\",\"doi\":\"10.11477/mf.030126030530020340\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In neuroendovascular surgery, operators must manipulate devices, such as microcatheters and guidewires, with millimeter precision while simultaneously monitoring multiple areas across up to four radiography monitors. Although both operators and assistants maintain careful observation, any oversight can lead to serious complications. To address this challenge, we have developed a real-time assistance system using artificial intelligence (AI). This paper discusses the practical experience, current challenges, and future prospects of the intraoperative real-time AI assistance system implemented in Japan.</p>\",\"PeriodicalId\":35984,\"journal\":{\"name\":\"Neurological Surgery\",\"volume\":\"53 2\",\"pages\":\"340-348\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neurological Surgery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11477/mf.030126030530020340\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neurological Surgery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11477/mf.030126030530020340","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
[Real-Time Artificial Intelligence Assistance in Neuroendovascular Surgery].
In neuroendovascular surgery, operators must manipulate devices, such as microcatheters and guidewires, with millimeter precision while simultaneously monitoring multiple areas across up to four radiography monitors. Although both operators and assistants maintain careful observation, any oversight can lead to serious complications. To address this challenge, we have developed a real-time assistance system using artificial intelligence (AI). This paper discusses the practical experience, current challenges, and future prospects of the intraoperative real-time AI assistance system implemented in Japan.