A Systematic Analysis of Large Language Models with RAG-enabled Dynamic Prompting for Medical Error Detection and Correction

Documenti analoghi

• A Scoping Review of Natural Language Processing in Addressing Medically Inaccurate Information: Errors, Misinformation, and Hallucination
  di: Sun, Zhaoyi, et al.
  Pubblicazione: (2025)
• Spurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models
  di: Sakib, Fardin Ahsan, et al.
  Pubblicazione: (2025)
• Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions
  di: Fu, Yujuan, et al.
  Pubblicazione: (2024)
• MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes
  di: Abacha, Asma Ben, et al.
  Pubblicazione: (2024)
• Assessing Large Language Models for Structured Medical Order Extraction
  di: Karim, A H M Rezaul, et al.
  Pubblicazione: (2025)