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.