First-in-human, real-time artificial intelligence assisted cerebral aneurysm coiling: a preliminary experience.

IF 4.5 1区 医学 Q1 NEUROIMAGING
Osamu Masuo, Yuya Sakakura, Yoshiaki Tetsuo, Kana Takase, Shun Ishikawa, Kenichi Kono
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引用次数: 0

Abstract

Background: Neuroendovascular procedures require careful and simultaneous attention to multiple devices on multiple screens. Overlooking unintended device movements can result in complications. Advancements in artificial intelligence (AI) have enabled real-time notifications of device movements during procedures. We report our preliminary experience with real-time AI-assisted cerebral aneurysm coiling in humans.

Methods: A real-time AI-assistance software (Neuro-Vascular Assist, iMed technologies, Tokyo, Japan) was used during coil embolization procedures in nine patients with an unruptured aneurysm. The AI system provided real-time notifications for 'coil marker approaching', 'guidewire movement', and 'device entry' on biplane fluoroscopic images. The efficacy, accuracy, and safety of the notifications were evaluated using video recordings.

Results: The AI system functioned properly in all cases. The mean number of notifications for coil marker approaching, guidewire movement, and device entry per procedure was 20.0, 3.0, and 18.3, respectively. The overall precision and recall were 92.7% and 97.2%, respectively. Five of 26 true positive guidewire notifications (19%) resulted in adjustment of the guidewire back toward its original position, indicating the potential effectiveness of the AI system. No adverse events occurred.

Conclusions: The software was sufficiently accurate and safe in this preliminary study, suggesting its potential usefulness. To the best of our knowledge, this is the first reported use of a real-time AI system for assisting cerebral aneurysm coiling in humans. Large scale studies are warranted to validate its effectiveness. Real-time AI assistance has significant potential for future neuroendovascular therapy.

首例实时人工智能辅助脑动脉瘤夹闭术:初步经验。
背景:神经内血管手术需要同时仔细观察多个屏幕上的多个设备。忽略无意中的设备移动可能会导致并发症。人工智能(AI)的进步实现了手术过程中设备移动的实时通知。我们报告了实时人工智能辅助脑动脉瘤夹闭术的初步经验:在九名未破裂动脉瘤患者的线圈栓塞手术中使用了实时人工智能辅助软件(Neuro-Vascular Assist,iMed technologies,日本东京)。人工智能系统在双平面透视图像上提供 "线圈标记接近"、"导丝移动 "和 "设备进入 "的实时通知。通过视频记录对通知的有效性、准确性和安全性进行了评估:结果:人工智能系统在所有病例中均正常运行。每例手术中线圈标记接近、导丝移动和设备进入的平均通知次数分别为 20.0 次、3.0 次和 18.3 次。总体精确度和召回率分别为 92.7% 和 97.2%。在 26 次真正的导丝阳性通知中,有 5 次(19%)导致导丝被调整回原来的位置,这表明人工智能系统具有潜在的有效性。无不良事件发生:在这项初步研究中,该软件足够准确和安全,表明其具有潜在的实用性。据我们所知,这是首次报道使用实时人工智能系统协助人类进行脑动脉瘤夹闭术。为验证其有效性,有必要进行大规模研究。实时人工智能辅助在未来的神经血管治疗中具有巨大潜力。
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来源期刊
CiteScore
9.50
自引率
14.60%
发文量
291
审稿时长
4-8 weeks
期刊介绍: The Journal of NeuroInterventional Surgery (JNIS) is a leading peer review journal for scientific research and literature pertaining to the field of neurointerventional surgery. The journal launch follows growing professional interest in neurointerventional techniques for the treatment of a range of neurological and vascular problems including stroke, aneurysms, brain tumors, and spinal compression.The journal is owned by SNIS and is also the official journal of the Interventional Chapter of the Australian and New Zealand Society of Neuroradiology (ANZSNR), the Canadian Interventional Neuro Group, the Hong Kong Neurological Society (HKNS) and the Neuroradiological Society of Taiwan.
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