RecruitingNCT04462380

AiCR : Artificial Intelligence in Cardiac aRrest Application of an Algorithm in the Prognosis of Recovered Cardiorespiratory Arrests

Sponsor: Centre Hospitalier Universitaire de Nice

Trial Details

Condition	Cardio Respiratory Arrest
Status	Recruiting
Participants	500
Est. Completion	30 Sept 2022
Last Updated	29 June 2026

Primary Outcome

Prediction of mortality in the intensive care unit; Prediction of mortality in the intensive care unit

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: * OCA recovered from: hypoxic, ischemic, pulmonary embolism, tamponade, rhythm or conduction disorder, shockable or not, intra or extra-hospital. * CR computerized, typed in PDF format Exclusion Criteria: \-

Trial Sites

Countries

France

View Registry Entry

Related Analysis

AI-Driven Prognostic Algorithm in Post-Cardiac Arrest ICU Care: The AiCR Trial and What It Signals for Critical Care Clinicians

The AiCR trial from Nice, France, is applying natural language processing to retrospective ICU records to build a predictive algorithm for mortality and clinical outcomes following recovered cardiorespiratory arrest. With European cardiac arrest survival rates hovering around 10.7%, the study targets one of critical care's most pressing prognostic challenges. Clinicians and researchers should watch for validation data that could reshape post-resuscitation decision-making frameworks.

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