Effectiveness of Comprehensive Video Datasets
Our study demonstrated that utilizing comprehensive video data enables a more accurate US-based diagnosis of CTS severity. This underscores the value of capturing the patterns of MN deformation and movement, which cannot be captured by representative metrics such as medians or maximums. By further developing an AI model based on our findings, a simpler and painless method for assessing CTS severity can be achieved.
Authors
- Yuta Sugiura (ORCID: https://orcid.org/0000-0002-0153-2864)
- Koji Fujita (ORCID: https://orcid.org/0000-0003-3733-0188)
- Eriku Yamada (ORCID: https://orcid.org/0000-0001-8777-9552)
- Kazuya Tsukamoto (ORCID: https://orcid.org/0000-0002-4385-5151)
- Tōru Sasaki (ORCID: https://orcid.org/0000-0003-0939-3296)
- Toshitaka Yoshii (ORCID: https://orcid.org/0000-0003-3511-9020)
- Takuya Ibara (ORCID: https://orcid.org/0000-0002-0518-1918)
- Tomoyuki Kuroiwa (ORCID: https://orcid.org/0000-0002-9942-1811)
- Akimoto Nimura (ORCID: https://orcid.org/0000-0002-3054-0273)
- Yukina Sato (ORCID: https://orcid.org/0009-0007-6817-8744)
- Tomohiko Waki (ORCID: https://orcid.org/0009-0001-4013-4682)
- Akiko Yamamoto (ORCID: https://orcid.org/0000-0003-3639-8201)
Institutions
- Keio University (JP)
- Institute of Science Tokyo (JP)
Publication Details
- Journal
- Journal of Ultrasound in Medicine
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1002/jum.16619
- Citations
- 2
- Primary Topic
- Peripheral Nerve Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Japan Society for the Promotion of Science
- Precursory Research for Embryonic Science and Technology