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Retrieval-Augmented Claude Opus 4.7 and GPT-5.5 Surpass Human Performance on the Nuclear Cardiology Board Preparation Exam (and Claude Drafts a Paper About it)

2026-05-13

Abstract excerpt

<h4>Background</h4> Previous studies evaluated large language model (LLM) performance on the American Society of Nuclear Cardiology (ASNC) Board Preparation Exam. Without domain-specific context, the best model (GPT-4o) achieved 63.1%, below the estimated 65% passing threshold and the 78% mean score of human fellows-in-training (FITs). Providing textbook context improved GPT-4o to 73.8% on text-only questions, bu...

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Genomics and Rare Diseases

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Literature Corpus work: e28c2ecd-8878-5866-bdb7-4540cdded642
DOI: 10.64898/2026.05.08.26352768

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