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. Author manuscript; available in PMC: 2024 Sep 1.
Published in final edited form as: JACC Cardiovasc Imaging. 2023 Jul 19;16(9):1209–1223. doi: 10.1016/j.jcmg.2023.05.012

Figure 1: NHLBI grants supporting AI in cardiovascular imaging over the past ten years.

Figure 1:

The NIH internal data platform was used to search for grants from fiscal year 2013 to 2022 using free-text search in the title and abstract. The terms used were: (“machine learning” and “imaging”) AND (“deep learning” and “imaging”) AND (“AI” and “imaging”). Fifty-three grants were finalized after removing non-human studies and lung and blood related studies, as well as removing non-target grants by manual curation. The grant information is accessible using the publicly available NIH Research Portfolio Online Reporting Tools (NIH RePORT) system. Early-stage investigator grants, clinical trials, and U-grants have all become more common in recent years. Grants span imaging modalities, but typically focus on only one modality per grant.