Artificial intelligence in coronary angiography: benchmarking the diagnostic accuracy of ChatGPT-4o against interventional cardiologists.

Journal: Open heart
Published Date: Jul 20, 2025

Abstract

BACKGROUND: The integration of artificial intelligence (AI) into medical diagnostics has significantly impacted cardiology by enhancing diagnostic precision and therapeutic strategies. Coronary artery disease continues to be a leading cause of global morbidity and mortality, with coronary angiography being the diagnostic gold standard. However, the subjective nature of angiographic interpretation can lead to inconsistent assessment. AI aims to provide automated, objective assessments to mitigate these challenges.

Authors

  • John Michael Hoppe
    Department of Medicine IV, Ludwig-Maximilians-Universität München, Munich, Germany.
  • Antonia Kellnar
    Department of Medicine I, Ludwig-Maximilians-Universität München, Munich, Germany.
  • David Esser
    Department of Medicine I, Ludwig-Maximilians-Universität München, Munich, Germany.
  • Kathrin Diegruber
    Department of Medicine I, Ludwig-Maximilians-Universität München, Munich, Germany.
  • Christopher Stremmel
    Department of Medicine I, Ludwig-Maximilians-Universität München, Munich, Germany Christopher.stremmel@med.uni-muenchen.de.

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