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Pharmacovigilance

Identifying adverse drug events and suspect drugs

Papers

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Showing 1–10 of 56 papers

TitleStatusHype
From Theory to Practice: Real-World Use Cases on Trustworthy LLM-Driven Process Modeling, Prediction and Automation—0
GASCADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer PharmacovigilanceCode0
Crowdsourcing-Based Knowledge Graph Construction for Drug Side Effects Using Large Language Models with an Application on Semaglutide—0
Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language ModelsCode0
Ontology-based Semantic Similarity Measures for Clustering Medical Concepts in Drug SafetyCode0
PVLens: Enhancing Pharmacovigilance Through Automated Label ExtractionCode0
HODDI: A Dataset of High-Order Drug-Drug Interactions for Computational PharmacovigilanceCode1
MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for PharmacovigilanceCode1
The Need for Guardrails with Large Language Models in Medical Safety-Critical Settings: An Artificial Intelligence Application in the Pharmacovigilance Ecosystem—0
Improving Entity Recognition Using Ensembles of Deep Learning and Fine-tuned Large Language Models: A Case Study on Adverse Event Extraction from Multiple Sources—0
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