In vitro to in vivo translation of artificial intelligence for clinical use: screening for acute coronary syndrome to identify ST-elevation myocardial infarction
We developed a method for the translation of our model from in vitro to in vivo that can be utilized with other applications of predictive modeling in healthcare.
Authors
- M. Haseeb Rizvi
- Melissa A. Pasao
- Gabrielle Bunney
- Ian Brown (ORCID: https://orcid.org/0000-0003-0656-2621)
- Rana Kabeer (ORCID: https://orcid.org/0000-0002-6780-2740)
- Anna Graber‐Naidich
- Sean M. Bloos (ORCID: https://orcid.org/0000-0002-1044-4823)
- Kate Miller (ORCID: https://orcid.org/0000-0002-6582-8031)
- Maame Yaa A. B. Yiadom (ORCID: https://orcid.org/0000-0002-6479-0764)
- A. Wessels
Institutions
- Tulane University (US)
- Stanford Health Care (US)
- Stanford University (US)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2025-06-06
- DOI
- https://doi.org/10.1093/jamia/ocaf101
- Citations
- 2
- Primary Topic
- Acute Myocardial Infarction Research
- Type
- article
- Field-Weighted Citation Impact
- 2.78
Funders
- National Institutes of Health
- National Heart, Lung, and Blood Institute
- National Center for Advancing Translational Sciences