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The Cost-effectiveness of Artificial Intelligence Acute Kidney Injury Prediction Auxiliary Software (Acura AKI)

RecruitingNAAges 20 Years - anyAllHuede Healthtech Co., Ltd.
NCT06685367 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

"Huede" AI Aided AKI Prediction Software, Acura AKI, uses machine learning algorithms to predict the risk of AKI within the next 24 hours and provide a ranking of feature importance. By using Acura AKI, physicians can assess the risk of AKI, focusing on high-risk patients to provide care decisions. This study will be conducted in a prospective randomized clinical trial in adult ICUs, implementing the Acura AKI system for predicting AKI. The study aims to determine whether early prediction and intervention using the Acura AKI system can improve the outcomes of critically ill patients with adverse kidney conditions. The study endpoint is to evaluate the cost-effectiveness of using Acura AKI, including the incidence of AKI, dialysis rates, mortality rates, length of hospital stay, and treatment costs.

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📋 Eligibility rules (as published)
Inclusion Criteria: * Over 20 years old * Admitted to adult ICU * Hospital stay of more than 30 hours Exclusion Criteria: * Known to have acute kidney injury at enrollment * Currently undergoing hemodialysis treatment * No available blood or urine test data * Pregnant women * HIV-positive patients * Those who have not provided informed consent form * Regarded as unsuitable for inclusion in the trial by the researcher
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What it tests

  • Acura AKI
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Where

1 site
Taichung Veterans General Hospital (TCVGH)
Taichung, Taiwan
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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