Paulina Sobczak

The need for guardrails with large language models in pharmacovigilance and other medical safety critical settings

Joe B. Hakim, Jeffery L. Painter, Darmendra Ramcharran, Vijay Kara et autres

Large language models (LLMs) are useful tools with the capacity for performing specific types of knowledge work at an effective scale. However, LLM deployments in high-risk and safety-critical domains pose unique challenges, notably the issue of "hallucinations", where LLMs can generate fabricated …

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The Need for Guardrails with Large Language Models in Medical Safety-Critical Settings: An Artificial Intelligence Application in the Pharmacovigilance Ecosystem

Joe B. Hakim, Jeffery L. Painter, Darmendra Ramcharran, Vijay Kara et autres

Large language models (LLMs) are useful tools with the capacity for performing specific types of knowledge work at an effective scale. However, LLM deployments in high-risk and safety-critical domains pose unique challenges, notably the issue of ``hallucination,'' where LLMs can generate fabricated …

Identifying Safety Subgroups at Risk: Assessing the Agreement Between Statistical Alerting and Patient Subgroup Risk

Olivia Mahaux, Gregory Powell, François Haguinet, Paulina Sobczak et autres

INTRODUCTION: Identifying individual characteristics or underlying conditions linked to adverse drug reactions (ADRs) can help optimise the benefit-risk ratio for individuals. A systematic evaluation of statistical methods to identify subgroups potentially at risk using spontaneous ADR report datasets is lacking. OBJECTIVES: In …

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