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

Tokyo, Aug. 16 -- UMIN Clinical Trials Registry (UMIN-CTR) received information related to the study (UMIN000062491) titled 'Development of Artificial Intelligence and Machine Learning (AI/ML)-Based Analytical Methods Using Clinical Data from Patients with Spinal Cord Injury' on Aug. 10.

Study Type: Observational

Primary Sponsor: Institute - Keio University

Condition: Condition - Spinal Cord Injury Classification by malignancy - Others Genomic information - NO

Objective: 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

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 Size - 1100

Recruitment Status: Recruitment status - Preinitiation Date of protocol fixation - 2026 Year 09 Month 26 Day Anticipated trial start date - 2026 Year 09 Month 26 Day Last follow-up date - 2030 Year 03 Month 31 Day

To know more, visit https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000071522

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