Acute cardiac care & resuscitationDiagnostic or prognostic study

DeepCRI: real-time EEG-based prognostication after cardiac arrest

ResuscitationPublished

  • development and validation of a deep learning system
  • multicenter
  • independent internal and external validation cohorts
  • bedside-integrated
  • real-time

Authors' conclusion

By embedding DeepCRI into routine ICU EEG infrastructure, we demonstrate the technical feasibility and clinical promise of continuous, real-time AI-driven prognostication for comatose patients after cardiac arrest.

Study context

Population
Comatose patients after cardiac arrestdevelopment dataset 522, internal validation 219, external validation 167 · development dataset 522 · internal validation cohort 219 · external validation cohort 167
Participants
219 vs 167
Comparison
internal validation cohort vs external validation cohort
  • internal validation cohortn = 219
  • external validation cohortn = 167

Performance

As reported in the abstract

Lock-in classification and performance, internal validation cohort · first 36 h after arrest
Test or modellock-in classificationssensitivity, good outcomespecificity, good outcomesensitivity, poor outcomespecificity, poor outcomeremained in gray zone
internal validation cohort179/219 patients (81.7%)94.7% (95% CI 90.0-97.6%)81.9% (95% CI 73.5-88.1%)49.5% (95% CI 40.2-58.9%)100.0% (95% CI 96.7-100.0%)40/219 patients (18.3%)

Further findings

Lock-in classification and performance, external validation cohort · first 36 h after arrest
100/167 patients (59.9%) · lock-in classifications · sensitivity, good outcome 67.2% (95% CI 54.7-77.7%) · specificity, good outcome 82.1% (95% CI 73.7-88.2%) · sensitivity, poor outcome 36.8% (95% CI 28.2-46.3%) · specificity, poor outcome 98.4% (95% CI 91.3-99.7%)

Post hoc analysis of false poor-outcome prediction

residual EMG artifacts contributed to this false poor-outcome prediction
  • post hoc

Original publication

DeepCRI: real-time EEG-based prognostication after cardiac arrest. Resuscitation. Published 16 April 2026. doi:10.1016/j.resuscitation.2026.111102

Summarised from the published abstract; every number is checked against it