Heart failure & cardiomyopathiesRandomised controlled trial

Using Artificial Intelligence to Adjudicate Major Adverse Cardiovascular Events in Clinical Trials

J Am Coll CardiolPublished

  • Validation study of an artificial intelligence (AI)-based adjudication system within the PARADISE-MI randomised trial

Authors' conclusion

AI-based adjudication of MACE showed high agreement with human CEC adjudication, especially for CV death and stroke, and where the model was confident.

Study context

Population
Patients with myocardial infarction (MI) complicated by systolic dysfunction or pulmonary congestion in the PARADISE-MI global trial (sacubitril/valsartan vs ramipril)PARADISE-MI
Participants
5,661 patients
Comparison
Auto-MACE vs clinical events committee (CEC) adjudication

Primary result

As reported in the abstract

Agreement of Auto-MACE with CEC adjudication
Confident adjudication: deaths
315/455 (69%)
Confident adjudication: potential MIs
301/659 (46%)
Confident adjudication: potential strokes
136/167 (81%)
Agreement with CEC, confident events: deaths
97%
Agreement with CEC, confident events: potential MIs
89%
Agreement with CEC, confident events: potential strokes
88%
Agreement with CEC, all events: deaths
86%
Agreement with CEC, all events: potential MIs
76%
Agreement with CEC, all events: potential strokes
84%

Further findings

OutcomeHR (95% CI)
Effect of sacubitril/valsartan vs ramipril on composite MACE, by adjudication method — Sacubitril/valsartan vs Ramipril · Auto-MACE adjudication0.91 (0.78–1.07)
Effect of sacubitril/valsartan vs ramipril on composite MACE, by adjudication method — Sacubitril/valsartan vs Ramipril · CEC adjudication0.90 (0.77–1.05)

Effect of sacubitril/valsartan vs ramipril on composite major adverse cardiovascular events (MACE), by adjudication method

Similar estimated effect with Auto-MACE and CEC adjudication

Original publication

Using Artificial Intelligence to Adjudicate Major Adverse Cardiovascular Events in Clinical Trials. J Am Coll Cardiol. Published 9 November 2025. doi:10.1016/j.jacc.2025.10.055

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