Article Text
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.
- Angiography
- Coil
- Aneurysm
- guidewire
- Technology
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Footnotes
X @CeoImed
Contributors OM and YS contributed equally to this work and should be considered as co-first authors. KK conceived the idea of the study and supervised its conduct. YS and KK drafted the original manuscript. OM, YT, KT, and SI were involved in the treatment of the patients in the case series. All authors reviewed the manuscript draft and critically revised it. All authors approved the final version of the manuscript for publication.
Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests YS received payment from iMed Technologies. KK is a CEO and holds shares in iMed Technologies. OM received a lecture fee from Daiichi Sankyo Company, Limited.
Provenance and peer review Not commissioned; externally peer reviewed.
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