Enhancing Drug Safety Documentation Search Capabilities with Large Language Models: A User-Centric Approach-Reference-Cited by-同舟云学术

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Enhancing Drug Safety Documentation Search Capabilities with Large Language Models: A User-Centric Approach

Published:2023-12-13 Issue: Volume:8 Page:49-56
ISSN:
Container-title:2023 International Conference on Computational Science and Computational Intelligence (CSCI)
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Author:

Painter Jeffery L.¹,Mahaux Olivia²,Vanini Marco²,Kara Vijay³,Roshan Christie³,Karwowski Marcin⁴,Chalamalasetti Venkateswara Rao¹,Bate Andrew³

Affiliation:

1. GSK,Durham,NC,USA

2. GSK,Wavre,Belgium

3. GSK,London,UK

4. GSK,Poznan,Poland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10590067/10590000/10590353.pdf?arnumber=10590353

Reference30 articles.

1. A day in the life of a pharmacovigilance case processor;Bhangale;Perspectives in Clinical Research,2017

2. E2B(R3) Electronic transmission of individual case safety reports (ICSRs) - data elements and message specification,2013

3. Enhancing Trust in LLM-Based AI Automation Agents: New Considerations and Future Challenges;Schwartz,2023

4. Trustworthy AI for safe medicines;Stegmann;Nature Reviews Drug Discovery,2023

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