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April 24, 2026Insights into Imaging1 citationsOpen Access

Comparative evaluation of large language models for generating CAD-RADS 2.0-compliant diagnostic conclusions in cardiac CT reports

GLGiovanni LorussoGRGiorgio RuscinoASAlessia Spitaleri

Key Points

  • This research aims to assess the effectiveness of large language models in generating CAD-RADS 2.0-compliant diagnostic conclusions for cardiac CT reports.
  • Comparison of various large language models in generating reports
  • Evaluation of compliance with CAD-RADS 2.0 standards
  • Assessment of reporting efficiency
  • LLMs showed strong potential for automating structured reporting
  • Significant improvements in reporting efficiency were observed
  • Further optimization of LLMs is necessary before they can be integrated clinically

Abstract

LLMs demonstrated strong potential in automating CAD-RADS 2.0-compliant structured reporting for CCTA. LLMs could significantly enhance efficiency in radiological reporting. LLMs need further optimization before clinical integration.

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Cite This Study

Lorusso et al. (2026) studied this question.

synapsesocial.com/papers/69eb08ef553a5433e34b3a15https://doi.org/10.1186/s13244-026-02285-6
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