AMWA 2025 - AI for Medical Writing

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A table listing various acronyms with their definitions, including AE (Adverse Event), AI (Artificial Intelligence), API (Application Programming Interface), BAA (Business Associate Agreement), BP (Blood Pressure), CSR (Clinical Study Report), DPA (Data Processing Agreement), FDA (U.S. Food and Drug Administration), GDPR (General Data Protection Regulation), SDTM (Study Data Tabulation Model), SOC 2 (Service Organization Control Type II), HIPAA (Health Insurance Portability and Accountability Act), ICH (International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use), LLM (Large Language Model), PHI (Protected Health Information), PK/PD (Pharmacokinetic / Pharmacodynamic), PLS (Plain Language Summary), OC (Quality Control), SAP (Statistical Analysis Plan), SBP / DBP (Systolic / Diastolic Blood Pressure), SME (Subject Matter Expert), VNet (Virtual Network Azure Security Configuration).
Poster titled 'Optimizing Publicly Available AI Platforms for Medical Writing,' presented by Bruce Pierce and Justin McLaughlin at the ACUMEN Medical Communications conference in Brookline, MA. The poster includes sections on Methods, Results, Safety Narratives, Internal QC/Consistency Checking, Scientific Publications, and Conclusions. It features various color-coded performance assessments of large language models like ChatGPT, Claude, Gemini, and Mistral across different tasks, with key points on model performance, model types, and AI evaluation methods.