Making Cardiac Magnetic Resonance Reports Understandable for Patients: Can AI-Simplified Reports Be Truly Implemented?

Announcing a new article publication for Cardiovascular Innovations and Applications. Artificial intelligence could help patients better understand heart MRI reports.

This editorial examines a study involving 117 patients, which found improved self-reported understanding after patients read AI-simplified reports screened by radiologists. However, four clinically unacceptable reports were caught before reaching patients, underscoring the need for clinician oversight.

Further validation before wider adoption is required, with accuracy checks and patient privacy central to implementation.

Read more: https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2026.0030

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CVIA is available on the ScienceOpen platform and at Cardiovascular Innovations and Applications. Submissions may be made using ScholarOne Manuscripts. There are no author submission or article processing fees. Cardiovascular Innovations and Applications is indexed in the EMBASE, EBSCO, ESCI, OCLC, Primo Central (Ex Libris), Sherpa Romeo, NISC (National Information Services Corporation), DOAJ, Index Copernicus, Research4Life and Ulrich’s web Databases. Follow CVIA on Twitter @CVIA_Journal; or Facebook.

Liwei Hu and Ye Luo. Making Cardiac Magnetic Resonance Reports Understandable for Patients: Can AI-Simplified Reports Be Truly Implemented?. CVIA. 2026. Vol. 11(1). DOI: 10.15212/CVIA.2026.0030

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