Description
- Abstract:
- Artificial Intelligence (AI) has the potential to both counter and amplify health misinformation. Within emergency medicine (EM), there is an urgent need to understand and address these implications. This project represents the first systematic effort to identify key knowledge gaps and develop a ten-year research agenda to guide EM’s response to this emerging challenge. A narrative review was conducted to build a comprehensive database of relevant literature, which will inform the creation of realistic, hypothetical vignettes that will map system-level interventions. Insights from these findings will inform consensus building using a modified Delphi Method at the 2026 Society for Academic Emergency Medicine Consensus Conference. The findings aim to provide a foundation for future research, policy development, and best practices to ensure that AI technologies strengthen trustworthy communication in emergency care.
- Notes:
- Scholarly concentration: Non-Scholarly Concentrator
Access Conditions
- Use and Reproduction
- All rights reserved
- Rights
- In Copyright
- Restrictions on Use
- All Rights Reserved
Citation
Kahn, Natasha, Chu, Andrew, Dash, Dev, et al.,
"Artificial Intelligence as a Driver of and Solution to the Spread of Health Misinformation in Emergency Care: A Literature Review"
(2025).
Warren Alpert Medical School Academic Symposium.
Brown Digital Repository. Brown University Library.
https://repository.library.brown.edu/studio/item/bdr:p3w7uvyx/
Relations
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Warren Alpert Medical School Academic Symposium
The Warren Alpert Medical School Academic Symposium is an annual event at Warren Alpert Medical School of Brown University that provides Year II medical students a venue to present their summer research in a poster format. Participation in the Symposium …...