| Unique ID issued by UMIN | UMIN000062491 |
|---|---|
| Receipt number | R000071522 |
| Scientific Title | Development of Artificial Intelligence and Machine Learning (AI/ML)-Based Analytical Methods Using Clinical Data from Patients with Spinal Cord Injury |
| Date of disclosure of the study information | 2026/08/10 |
| Last modified on | 2026/08/06 10:34:37 |
Development of Artificial Intelligence and Machine Learning (AI/ML)-Based Analytical Methods Using Clinical Data from Patients with Spinal Cord Injury
SCI-AIM
Development of Artificial Intelligence and Machine Learning (AI/ML)-Based Analytical Methods Using Clinical Data from Patients with Spinal Cord Injury
SCI-AIM
| Japan |
Spinal Cord Injury
| Orthopedics |
Others
NO
To develop artificial intelligence and machine learning (AI/ML)-based analytical methods for prognosis prediction and patient stratification using existing clinical data from patients with spinal cord injury, and to evaluate their potential clinical applications.
Others
Development and performance evaluation of artificial intelligence and machine learning (AI/ML)-based analytical methods for prognosis prediction and patient stratification using existing clinical data from patients with spinal cord injury.
Performance of the artificial intelligence and machine learning (AI/ML)-based analytical methods developed using clinical data from patients with spinal cord injury.
Observational
| Not applicable |
| Not applicable |
Male and Female
Patients registered in the spinal cord injury database at the Spinal Injuries Center between January 1, 2012, and September 30, 2026.
1. Patients with insufficient clinical information.
3. Patients not registered in the spinal cord injury database of the Spinal Injuries Center.
4. Patients who withdrew consent for participation in this study.
1100
| 1st name | Masaya |
| Middle name | |
| Last name | Nakamura |
Keio University School of Medicine
Department of Orthopaedic Surgery
160-8582
35 Shinanomachi, Shinjuku, Tokyo
03-3353-1211
keio.spinalregen@gmail.com
| 1st name | Keiko |
| Middle name | |
| Last name | Sugai |
Keio University School of Medicine
Department of Orthopaedic Surgery
160-8582
35 Shinanomachi, Shinjuku, Tokyo
03-3353-1211
keio.spinalregen@gmail.com
Keio University
Japan Society for the Promotion of Science (JSPS) KAKENHI Grant-in-Aid for Scientific Research
Other
Spinal Injuries Center
IRB of Keio University school of medicine
35 Shinanomachi, Shinjuku, Tokkyo
med-rinri-jimu@adst.keio.ac.jp
med-rinri-jimu@adst.keio.ac.jp
NO
| 2026 | Year | 08 | Month | 10 | Day |
Unpublished
Preinitiation
| 2026 | Year | 09 | Month | 26 | Day |
| 2026 | Year | 09 | Month | 26 | Day |
| 2030 | Year | 03 | Month | 31 | Day |
Descriptive Study
| 2026 | Year | 08 | Month | 06 | Day |
| 2026 | Year | 08 | Month | 06 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000071522