UMIN-ICDS Clinical Trial
| Unique ID issued by UMIN | UMIN000061810 |
|---|---|
| Receipt number | R000070731 |
| Scientific Title | International Validation of Predictive Performance of DeepCARS, an Artificial Intelligence-Based Cardiac Arrest Risk Prediction Software |
| Date of disclosure of the study information | 2026/06/05 |
| Last modified on | 2026/06/05 15:26:27 |
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Basic information
Public title
International Validation of Predictive Performance of DeepCARS, an Artificial Intelligence-Based Cardiac Arrest Risk Prediction Software
Acronym
International Validation of Predictive Performance of DeepCARS, an Artificial Intelligence-Based Cardiac Arrest Risk Prediction Software
Scientific Title
International Validation of Predictive Performance of DeepCARS, an Artificial Intelligence-Based Cardiac Arrest Risk Prediction Software
Scientific Title:Acronym
International Validation of Predictive Performance of DeepCARS, an Artificial Intelligence-Based Cardiac Arrest Risk Prediction Software
Region
| Japan | Asia(except Japan) | North America |
Condition
Condition
In-hospital cardiac arrest
Classification by specialty
| Emergency medicine |
Classification by malignancy
Others
Genomic information
NO
Objectives
Narrative objectives1
to evaluate the performance of a deep-learning-based cardiac arrest prediction model
Basic objectives2
Others
Basic objectives -Others
NA
Trial characteristics_1
Trial characteristics_2
Developmental phase
Assessment
Primary outcomes
Survival at discharge
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
| 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 sample size
80000
Research contact person
Name of lead principal investigator
| 1st name | Kyota |
| Middle name | |
| Last name | Nakamura |
Organization
Yokohama City University Medical Center
Division name
Department of Quality and Safety in Healthcare
Zip code
232-0024
Address
4-57 Urafunecho, Minamiku, Yokohama
TEL
045-261-5656
nakamuk@yokohama-cu.ac.jp
Public contact
Name of contact person
| 1st name | Takeru |
| Middle name | |
| Last name | Abe |
Organization
Yokohama City Unviersity
Division name
School of Medicine
Zip code
232-0024
Address
4-57 Urafunecho, Minamiku, Yokohama
TEL
045-261-5656
Homepage URL
takeru-a@umin.ac.jp
Sponsor or person
Institute
Yokohama City University
Institute
Department
Personal name
Funding Source
Organization
Yokohama City University
Organization
Division
Category of Funding Organization
Self funding
Nationality of Funding Organization
Other related organizations
Co-sponsor
Name of secondary funder(s)
IRB Contact (For public release)
Organization
Yokohama City University
Address
4-57 Urafunecho, Minamiku, Yokohama
Tel
045-261-5656
takeru-a@umin.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 | 06 | Month | 05 | 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
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 |
Date of closure to data entry
Date trial data considered complete
Date analysis concluded
Other
Other related information
NA
Management information
Registered date
| 2026 | Year | 06 | Month | 05 | Day |
Last modified on
| 2026 | Year | 06 | Month | 05 | Day |
Link to view the page
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000070731
