Tokyo, June 6 -- UMIN Clinical Trials Registry (UMIN-CTR) received information related to the study (UMIN000061810) titled 'International Validation of Predictive Performance of DeepCARS, an Artificial Intelligence-Based Cardiac Arrest Risk Prediction Software' on June 5.
Study Type:
Observational
Primary Sponsor:
Institute - Yokohama City University
Condition:
Condition - In-hospital cardiac arrest
Classification by malignancy - Others
Genomic information - NO
Objective:
Narrative objectives1 - to evaluate the performance of a deep-learning-based cardiac arrest prediction model
Basic objectives2 - Others
Eligibility:
Age-lower limit - 18
years-old
<=
Age-upper limit - Not applicable
Gender - Male and Female
Key inclusion criteria - All adult patients admitted during the study period
Key exclusion criteria - Pediatric patients
Target Size - 80000
Recruitment Status:
Recruitment status - Enrolling by invitation
Date of protocol fixation - 2026 Year 04 Month 01 Day
Date of IRB - 2026 Year 06 Month 03 Day
Anticipated trial start date - 2026 Year 04 Month 01 Day
Last follow-up date - 2027 Year 03 Month 31 Day
To know more, visit https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000070731
Disclaimer: Curated by HT Syndication.