"This Editorial highlights the findings of a new article in JAMA Cardiology2 that examines the potential for natural language processing (NLP) models to accurately classify heart failure hospitalizations compared with the gold standard for clinical adjudication and places the findings from this study in context of the possibilities for improving clinical trials through AI."
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"Given that up to 20% of clinical trial costs is related to the manual transfer and verification of data from the electronic medical record to a data capture system, as well as the site monitoring of such data, all of which are readily automated tasks, the application of AI to clinical trials could be revolutionary and is likely necessary."
