Cover Image

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

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ahmed, Farzad, Jerome, Joniel Augustine, Yetisgen, Meliha, Uzuner, Özlem
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Scoping Review of Natural Language Processing in Addressing Medically Inaccurate Information: Errors, Misinformation, and Hallucination
by: Sun, Zhaoyi, et al.
Published: (2025)

Spurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models
by: Sakib, Fardin Ahsan, et al.
Published: (2025)

Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions
by: Fu, Yujuan, et al.
Published: (2024)

MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes
by: Abacha, Asma Ben, et al.
Published: (2024)

Assessing Large Language Models for Structured Medical Order Extraction
by: Karim, A H M Rezaul, et al.
Published: (2025)

Adapting Biomedical Abstracts into Plain language using Large Language Models
by: Gangavarapu, Haritha, et al.
Published: (2025)

Large Language Model-Based Agents for Automated Research Reproducibility: An Exploratory Study in Alzheimer's Disease
by: Dobbins, Nic, et al.
Published: (2025)

Multimodal Retrieval-Augmented Generation with Large Language Models for Medical VQA
by: Karim, A H M Rezaul, et al.
Published: (2025)

Retrieval-Augmented Large Language Models for Schema-Constrained Clinical Information Extraction
by: Karim, A H M Rezaul, et al.
Published: (2026)

Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication
by: Chung, Philip, et al.
Published: (2024)

BioMistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning
by: Fu, Yujuan Velvin, et al.
Published: (2024)

Prompting Large Language Models to Detect Dementia Family Caregivers
by: Biswas, Md Badsha, et al.
Published: (2025)

A Novel Corpus of Annotated Medical Imaging Reports and Information Extraction Results Using BERT-based Language Models
by: Park, Namu, et al.
Published: (2024)

Automated Identification of Incidentalomas Requiring Follow-Up: A Multi-Anatomy Evaluation of LLM-Based and Supervised Approaches
by: Park, Namu, et al.
Published: (2025)

Importance of Prompt Optimisation for Error Detection in Medical Notes Using Language Models
by: Myles, Craig, et al.
Published: (2026)

Identifying Imaging Follow-Up in Radiology Reports: A Comparative Analysis of Traditional ML and LLM Approaches
by: Park, Namu, et al.
Published: (2025)

DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models
by: Xie, Jinxiang, et al.
Published: (2024)

Systematic Comparative Analysis of Large Pretrained Language Models on Contextualized Medication Event Extraction
by: Abdul-Quddoos, Tariq, et al.
Published: (2025)

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models
by: Jung, Jincheol, et al.
Published: (2024)

Gradient Co-occurrence Analysis for Detecting Unsafe Prompts in Large Language Models
by: Yang, Jingyuan, et al.
Published: (2025)

UW-BioNLP at ChemoTimelines 2025: Thinking, Fine-Tuning, and Dictionary-Enhanced LLM Systems for Chemotherapy Timeline Extraction
by: Zhang, Tianmai M., et al.
Published: (2025)

The Arabic AI Fingerprint: Stylometric Analysis and Detection of Large Language Models Text
by: Al-Shaibani, Maged S., et al.
Published: (2025)

Large Language Model enabled Mathematical Modeling
by: Zhang, Guoyun
Published: (2025)

Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods
by: Fu, Yujuan, et al.
Published: (2024)

Generative Speech Recognition Error Correction with Large Language Models and Task-Activating Prompting
by: Yang, Chao-Han Huck, et al.
Published: (2023)

Dynamic Compressing Prompts for Efficient Inference of Large Language Models
by: Hu, Jinwu, et al.
Published: (2025)

Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models
by: Castillo-Bolado, David, et al.
Published: (2024)

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation
by: Sun, Jiashuo, et al.
Published: (2025)

Generative Large Language Models Trained for Detecting Errors in Radiology Reports
by: Sun, Cong, et al.
Published: (2025)

Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models
by: He, Chengyang, et al.
Published: (2025)

MedBioRAG: Semantic Search and Retrieval-Augmented Generation with Large Language Models for Medical and Biological QA
by: Kim, Seonok
Published: (2025)

VaccineRAG: Boosting Multimodal Large Language Models' Immunity to Harmful RAG Samples
by: Sun, Qixin, et al.
Published: (2025)

RAG-X: Systematic Diagnosis of Retrieval-Augmented Generation for Medical Question Answering
by: Sivakumar, Aswini, et al.
Published: (2026)

The Human Factor in Detecting Errors of Large Language Models: A Systematic Literature Review and Future Research Directions
by: Schiller, Christian A.
Published: (2024)

LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties
by: Mumtaz, Ummara, et al.
Published: (2023)

RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models
by: An, Bang, et al.
Published: (2025)

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications
by: Zhang, Yanxiang, et al.
Published: (2025)

Concurrent Linguistic Error Detection (CLED): a New Methodology for Error Detection in Large Language Models
by: Zhu, Jinhua, et al.
Published: (2024)

PromptBridge: Cross-Model Prompt Transfer for Large Language Models
by: Wang, Yaxuan, et al.
Published: (2025)

CACER: Clinical Concept Annotations for Cancer Events and Relations
by: Fu, Yujuan, et al.
Published: (2024)