The novel system, called CMR-CLIP, is designed to interpret cardiac MRI scans by connecting moving images of the heart with corresponding clinical radiology reports.

The research was published in Nature Communications.

In testing, it significantly outperformed general-purpose AI models, in some cases by more than 35%. The system also showed strong potential for improving cardiac imaging analysis, case retrieval, and clinical decision support.

“This work demonstrates that domain-specific foundation models can significantly outperform general-purpose AI systems in specialized clinical applications,” said Ding Zhao, associate professor in Carnegie Mellon University’s Department of Mechanical Engineering and co-principal investigator on the study.