Trust but Verify: Lessons Learned for the Application of AI to Case-Based Clinical Decision-Making From Postmarketing Drug Safety Assessment at the US Food and Drug Administration
- DOI
- 10.2196/50274
- Published
- 2024-06-06
- Container
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/50274,
title = {Trust but Verify: Lessons Learned for the Application of AI to Case-Based Clinical Decision-Making From Postmarketing Drug Safety Assessment at the US Food and Drug Administration},
author = {Robert Ball and Andrew H Talal and Oanh Dang and Monica Muñoz and Marianthi Markatou},
year = {2024},
journal = {Journal of Medical Internet Research},
doi = {10.2196/50274},
url = {https://doi.org/10.2196/50274}
}RIS
TY - JOUR TI - Trust but Verify: Lessons Learned for the Application of AI to Case-Based Clinical Decision-Making From Postmarketing Drug Safety Assessment at the US Food and Drug Administration AU - Robert Ball AU - Andrew H Talal AU - Oanh Dang AU - Monica Muñoz AU - Marianthi Markatou PY - 2024 JO - Journal of Medical Internet Research DO - 10.2196/50274 UR - https://doi.org/10.2196/50274 ER -
APA
Ball, R., Talal, A. H., Dang, O., Muñoz, M., & Markatou, M. (2024). Trust but Verify: Lessons Learned for the Application of AI to Case-Based Clinical Decision-Making From Postmarketing Drug Safety Assessment at the US Food and Drug Administration. Journal of Medical Internet Research. https://doi.org/10.2196/50274
Source records
- crossref · retrieved 2026-09-25T22:19:46.855Z