World’s First Artificial Intelligence-Based Evaluation of Rist Catheter Stability in Transradial Procedures: A Feasibility Study
This study demonstrates the feasibility of using AI technology to quantitatively analyze Rist stability in TRA procedures. To the best of our knowledge, this is the 1st clinical evaluation of device function in a clinical setting using AI technology. Further studies with more cases are required to validate these findings. This method is promising for real-world device evaluation and development.
Authors
- Shunsuke Tanoue (ORCID: https://orcid.org/0000-0003-4967-2193)
- Kenichi Kono (ORCID: https://orcid.org/0000-0003-0006-076X)
- Yuya Sakakura (ORCID: https://orcid.org/0000-0002-2947-8812)
Institutions
- NTT Medical Center (JP)
- National Defense Medical College Hospital (JP)
- SHOWA Medical University Fujigaoka Hospital (JP)
Publication Details
- Journal
- Journal of Neuroendovascular Therapy
- Published
- 2025-01-01
- DOI
- https://doi.org/10.5797/jnet.oa.2025-0028
- Citations
- 3
- Primary Topic
- Vascular Procedures and Complications
- Type
- article
- Field-Weighted Citation Impact
- 4.56