Prediction and Management of Acute Kidney Injury With Explainable Artificial Intelligence
NCT05937451 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1438
Last updated 2023-07-28
Summary
The goal of this clinical trial is to compare the occurrence of acute kidney injury (AKI) in inpatients when information from the 'PRIME solution' (AKI prediction program utilizing artificial intelligence) is provided. The main questions it aims to answer are: •\[When Artificial intelligence (AI) provides information regarding AKI occurrence prediction within 48 hours, what would change in the physician's behavior?\] •\[If provided with AI information, what would be the incidence of AKI, severe AKI (stage 2 or 3), kidney replacement therapy, and changes in mortality during hospitalization?\] In the case of the intervention group that receives AI information, autonomous treatment is conducted by referring to AI prediction information. Researchers will compare it with a usual-care group that does not receive AI prediction results.
Conditions
Interventions
- OTHER
-
PRIME solution
The investigators will apply an AKI prediction model (PRIME solution) based on the patient's demographic. The investigators will collect data on vital signs, laboratory test results, medication history, and surgical records. The investigators provide information on whether AKI develops within 48 hours and the top 10 explanatory factors for predicting AKI to the physician.
Sponsors & Collaborators
-
Seoul National University Hospital
lead OTHER
Principal Investigators
-
Sejoong Kim, MD, PhD · Seoul National University Bundang Hospital
Study Design
- Allocation
- RANDOMIZED
- Purpose
- PREVENTION
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Min Age
- 19 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2023-09-01
- Primary Completion
- 2024-12-31
- Completion
- 2025-12-31
Countries
- South Korea
Study Locations
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