:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Reichenpfader, Daniel, Knupp, Jonas, Sander, André, Denecke, Kerstin
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence J.3
Online Access:	https://arxiv.org/abs/2406.15465
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reshaping Free-Text Radiology Notes Into Structured Reports With Generative Transformers
by: Bergomi, Laura, et al.
Published: (2024)

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports
by: Guluzade, Aynur, et al.
Published: (2025)

RAD-PHI2: Instruction Tuning PHI-2 for Radiology
by: Ranjit, Mercy, et al.
Published: (2024)

RadAnnotate: Large Language Models for Efficient and Reliable Radiology Report Annotation
by: Shetty, Saisha Pradeep, et al.
Published: (2026)

Efficient Standardization of Clinical Notes using Large Language Models
by: Hier, Daniel B., et al.
Published: (2024)

Advancing Italian Biomedical Information Extraction with Transformers-based Models: Methodological Insights and Multicenter Practical Application
by: Crema, Claudio, et al.
Published: (2023)

Agentic Framework for Political Biography Extraction
by: Zhu, Yifei, et al.
Published: (2026)

MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
by: Li, Yingyun, et al.
Published: (2026)

Evaluating Large Language Models for IUCN Red List Species Information
by: Uryu, Shinya
Published: (2025)

RadReason: Radiology Report Evaluation Metric with Reasons and Sub-Scores
by: Li, Yingshu, et al.
Published: (2025)

A Method for the Architecture of a Medical Vertical Large Language Model Based on Deepseek R1
by: Zhang, Mingda, et al.
Published: (2025)

Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models
by: Safavi-Naini, Seyed Amir Ahmad, et al.
Published: (2024)

BALI: Enhancing Biomedical Language Representations through Knowledge Graph and Language Model Alignment
by: Sakhovskiy, Andrey, et al.
Published: (2025)

Language Models and Retrieval Augmented Generation for Automated Structured Data Extraction from Diagnostic Reports
by: Jabal, Mohamed Sobhi, et al.
Published: (2024)

Igea: a Decoder-Only Language Model for Biomedical Text Generation in Italian
by: Buonocore, Tommaso Mario, et al.
Published: (2024)

Improving Radiology Report Conciseness and Structure via Local Large Language Models
by: Hartsock, Iryna, et al.
Published: (2024)

Performance of Large Language Models in Supporting Medical Diagnosis and Treatment
by: Sousa, Diogo, et al.
Published: (2025)

Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach
by: Chaturvedi, Rochana, et al.
Published: (2025)

CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive Decoding
by: Zhang, Xi, et al.
Published: (2025)

Leveraging Prompt-Learning for Structured Information Extraction from Crohn's Disease Radiology Reports in a Low-Resource Language
by: Hazan, Liam, et al.
Published: (2024)

A Risk Taxonomy and Reflection Tool for Large Language Model Adoption in Public Health
by: Zhou, Jiawei, et al.
Published: (2024)

PromptRad: Knowledge-Enhanced Multi-Label Prompt-Tuning for Low-Resource Radiology Report Labeling
by: Lin, Ying-Jia, et al.
Published: (2026)

Development and Validation of a Large Language Model for Generating Fully-Structured Radiology Reports
by: Niu, Chuang, et al.
Published: (2024)

A Comparison of Veterans with Problematic Opioid Use Identified through Natural Language Processing of Clinical Notes versus Using Diagnostic Codes
by: Workman, Terri Elizabeth, et al.
Published: (2024)

Libra: Leveraging Temporal Images for Biomedical Radiology Analysis
by: Zhang, Xi, et al.
Published: (2024)

Evaluating the Challenges of LLMs in Real-world Medical Follow-up: A Comparative Study and An Optimized Framework
by: Liu, Jinyan, et al.
Published: (2025)

CuraView: A Multi-Agent Framework for Medical Hallucination Detection with GraphRAG-Enhanced Knowledge Verification
by: Ye, Severin, et al.
Published: (2026)

A Domain-Specific Curated Benchmark for Entity and Document-Level Relation Extraction
by: Martinelli, Marco, et al.
Published: (2026)

Large Language Models for Automatic Detection of Sensitive Topics
by: Wen, Ruoyu, et al.
Published: (2024)

Radiology-GPT: A Large Language Model for Radiology
by: Liu, Zhengliang, et al.
Published: (2023)

RadDiff: Describing Differences in Radiology Image Sets with Natural Language
by: Shen, Xiaoxian, et al.
Published: (2026)

Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data
by: Ghaffarzadeh-Esfahani, Mohammadreza, et al.
Published: (2024)

High Throughput Phenotyping of Physician Notes with Large Language and Hybrid NLP Models
by: Munzir, Syed I., et al.
Published: (2024)

Survey and Experiments on Mental Disorder Detection via Social Media: From Large Language Models and RAG to Agents
by: Ge, Zhuohan, et al.
Published: (2025)

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

Multi-Method Validation of Large Language Model Medical Translation Across High- and Low-Resource Languages
by: Anyaegbuna, Chukwuebuka, et al.
Published: (2026)

RadLite: Multi-Task LoRA Fine-Tuning of Small Language Models for CPU-Deployable Radiology AI
by: Gupta, Pankaj, et al.
Published: (2026)

Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodology
by: Fytas, Panagiotis, et al.
Published: (2024)

AI-MASLD Metabolic Dysfunction and Information Steatosis of Large Language Models in Unstructured Clinical Narratives
by: Shen, Yuan, et al.
Published: (2025)

The Foundational Capabilities of Large Language Models in Predicting Postoperative Risks Using Clinical Notes
by: Alba, Charles, et al.
Published: (2024)