Contrastive language image pretraining for a cardiac magnetic resonance image embedding with zero-shot capabilities.

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Title: Contrastive language image pretraining for a cardiac magnetic resonance image embedding with zero-shot capabilities.
Authors: Nakashima M; Cardiovascular Innovation Research Center, Cleveland Clinic, Cleveland, OH, USA.; Heart Vascular Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA., Qiu J; Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, USA., Huang P; Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, USA., Lee J; Cardiovascular Innovation Research Center, Cleveland Clinic, Cleveland, OH, USA.; Heart Vascular Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA., Chen PH; Diagnostics Institute, Cleveland Clinic, Cleveland, OH, USA., Grimm R; Heart Vascular Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.; Diagnostics Institute, Cleveland Clinic, Cleveland, OH, USA., Nguyen C; Cardiovascular Innovation Research Center, Cleveland Clinic, Cleveland, OH, USA.; Heart Vascular Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.; Diagnostics Institute, Cleveland Clinic, Cleveland, OH, USA., Kim BH; Hyundai Card, Seoul, South Korea., Zhao D; Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, USA.; Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA., Kwon D; Heart Vascular Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA. kwond@ccf.org.; Diagnostics Institute, Cleveland Clinic, Cleveland, OH, USA. kwond@ccf.org., Chen D; Cardiovascular Innovation Research Center, Cleveland Clinic, Cleveland, OH, USA. chend3@ccf.org.; Diagnostics Institute, Cleveland Clinic, Cleveland, OH, USA. chend3@ccf.org.; Center for Diagnostics and Artificial Intelligence, Cleveland Clinic, Cleveland, OH, USA. chend3@ccf.org.
Source: Nature communications [Nat Commun] 2026 May 21; Vol. 17 (1). Date of Electronic Publication: 2026 May 21.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2041-1723
DOI:10.1038/s41467-026-73022-2