Last reviewed · How we verify

NCT06685367

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

Recruiting now NA Last updated 12 November 2024
What this trial tests

NA trial testing Acura AKI in Acute Kidney Injury in 3,600 participants. Currently enrolling.

Timeline
17 October 2024
Primary endpoint
15 September 2025
15 September 2025

Quick facts

Lead sponsorHuede Healthtech Co., Ltd.
PhaseNA
StatusRecruiting now
Study typeINTERVENTIONAL
Allocationrandomized
Designparallel
Maskingsingle
Primary purposeprevention
Enrollment3,600
Start date17 October 2024
Primary completion15 September 2025
Estimated completion15 September 2025
Sites1 location across Taiwan

Drugs / interventions tested

Conditions studied

Sponsor

Huede Healthtech Co., Ltd.

Who can join

20 and older, any sex, with Acute Kidney Injury or Intensive Care. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

"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.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

Verify or expand the search:

Other recruiting trials for Acute Kidney Injury

Currently open trials in the same condition.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06685367.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing