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Assessment of Organ Failure Risk Predictions in ICU

Study acronym: AI4ICU-Obs
StatusActive, Not Recruiting
PhaseNot specified
SponsorETH Zurich
Started
View on ClinicalTrials.gov ↗

Record History

  1. Trial status: Recruiting to Active, Not Recruitingv2 Show 4 more changesShow less
    • Enrollment target: estimated 690 to confirmed 499
    • Primary completion date changed from estimate of Nov 18, 2026 to May 15, 2025
    • Study completion date: Jan 21, 2027 to May 15, 2026
    • Site details revised
  2. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
ETH Zurich
15 trials monitored
See 1 trial at risk
During this observational study, the investigators aim to assess the ability of ICU clinicians to predict the risk of impending organ failure and retrospectively compare it to the performance of previously published machine learning models. The central hypothesis of this study is that the treating physician can predict impending organ failure in adult ICU patients with similar accuracy as the best previously publishes machine learning models.
Trial Details
NCT Number NCT06814327
Lead Sponsor ETH Zurich
Collaborators: Insel Gruppe AG, University Hospital Bern
Conditions
(from sponsor)		 Circulatory Failure, Respiratory Failure, Renal Failure
Related terms Renal Insufficiency, Respiratory Insufficiency, Shock
Enrollment 499 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov