UMIN-CTR Clinical Trial

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

* This page includes information on clinical trials registered in UMIN clinical trial registed system.
* We don't aim to advertise certain products or treatments


Basic information

Public title

Development of Artificial Intelligence and Machine Learning (AI/ML)-Based Analytical Methods Using Clinical Data from Patients with Spinal Cord Injury

Acronym

SCI-AIM

Scientific Title

Development of Artificial Intelligence and Machine Learning (AI/ML)-Based Analytical Methods Using Clinical Data from Patients with Spinal Cord Injury

Scientific Title:Acronym

SCI-AIM

Region

Japan


Condition

Condition

Spinal Cord Injury

Classification by specialty

Orthopedics

Classification by malignancy

Others

Genomic information

NO


Objectives

Narrative objectives1

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.

Basic objectives2

Others

Basic objectives -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.

Trial characteristics_1


Trial characteristics_2


Developmental phase



Assessment

Primary outcomes

Performance of the artificial intelligence and machine learning (AI/ML)-based analytical methods developed using clinical data from patients with spinal cord injury.

Key secondary outcomes



Base

Study type

Observational


Study design

Basic design


Randomization


Randomization unit


Blinding


Control


Stratification


Dynamic allocation


Institution consideration


Blocking


Concealment



Intervention

No. of arms


Purpose of intervention


Type of intervention


Interventions/Control_1


Interventions/Control_2


Interventions/Control_3


Interventions/Control_4


Interventions/Control_5


Interventions/Control_6


Interventions/Control_7


Interventions/Control_8


Interventions/Control_9


Interventions/Control_10



Eligibility

Age-lower limit


Not applicable

Age-upper limit


Not applicable

Gender

Male and Female

Key inclusion criteria

Patients registered in the spinal cord injury database at the Spinal Injuries Center between January 1, 2012, and September 30, 2026.

Key exclusion criteria

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.

Target sample size

1100


Research contact person

Name of lead principal investigator

1st name Masaya
Middle name
Last name Nakamura

Organization

Keio University School of Medicine

Division name

Department of Orthopaedic Surgery

Zip code

160-8582

Address

35 Shinanomachi, Shinjuku, Tokyo

TEL

03-3353-1211

Email

keio.spinalregen@gmail.com


Public contact

Name of contact person

1st name Keiko
Middle name
Last name Sugai

Organization

Keio University School of Medicine

Division name

Department of Orthopaedic Surgery

Zip code

160-8582

Address

35 Shinanomachi, Shinjuku, Tokyo

TEL

03-3353-1211

Homepage URL


Email

keio.spinalregen@gmail.com


Sponsor or person

Institute

Keio University

Institute

Department

Personal name



Funding Source

Organization

Japan Society for the Promotion of Science (JSPS) KAKENHI Grant-in-Aid for Scientific Research

Organization

Division

Category of Funding Organization

Other

Nationality of Funding Organization



Other related organizations

Co-sponsor

Spinal Injuries Center

Name of secondary funder(s)



IRB Contact (For public release)

Organization

IRB of Keio University school of medicine

Address

35 Shinanomachi, Shinjuku, Tokkyo

Tel

med-rinri-jimu@adst.keio.ac.jp

Email

med-rinri-jimu@adst.keio.ac.jp


Secondary IDs

Secondary IDs

NO

Study ID_1


Org. issuing International ID_1


Study ID_2


Org. issuing International ID_2


IND to MHLW



Institutions

Institutions



Other administrative information

Date of disclosure of the study information

2026 Year 08 Month 10 Day


Related information

URL releasing protocol


Publication of results

Unpublished


Result

URL related to results and publications


Number of participants that the trial has enrolled


Results


Results date posted


Results Delayed


Results Delay Reason


Date of the first journal publication of results


Baseline Characteristics


Participant flow


Adverse events


Outcome measures


Plan to share IPD


IPD sharing Plan description



Progress

Recruitment status

Preinitiation

Date of protocol fixation

2026 Year 09 Month 26 Day

Date of IRB


Anticipated trial start date

2026 Year 09 Month 26 Day

Last follow-up date

2030 Year 03 Month 31 Day

Date of closure to data entry


Date trial data considered complete


Date analysis concluded



Other

Other related information

Descriptive Study


Management information

Registered date

2026 Year 08 Month 06 Day

Last modified on

2026 Year 08 Month 06 Day



Link to view the page

Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000071522