Adjudicating Cardiovascular Events with Adaptive AI: Less Hype, Real Workflow Gains?

Claims about AI reading clinical events “as well as experts” have always traveled faster than the footnotes. In this comparative study, an adaptive AI tool matched human performance in ruling out non-endpoint events and held its own at capturing actual CV endpoints across two major trials. When blended with human review, the hybrid approach nudged F1 scores above either pure automation or full manual work. Still, performance for nuanced diagnoses like MI, especially under shifting trial definitions, calls for ongoing surveillance—models don’t learn clinical subtlety by osmosis. Event adjudication, often the labor-intensive core of cardiovascular studies, may see efficiency gains via AI-human partnerships, but the integration will need close attention to edge cases and regular recalibration as protocols evolve.