Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation
Fuente:
arXiv
Saved in:
| Main Authors: | Messina, Pablo, Vidal, René, Parra, Denis, Soto, Álvaro, Araujo, Vladimir |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Radiology-GPT: A Large Language Model for Radiology
by: Liu, Zhengliang, et al.
Published: (2023)
by: Liu, Zhengliang, et al.
Published: (2023)
Leveraging Online Data to Enhance Medical Knowledge in a Small Persian Language Model
by: Ghassabi, Mehrdad, et al.
Published: (2025)
by: Ghassabi, Mehrdad, et al.
Published: (2025)
Improving Radiology Report Conciseness and Structure via Local Large Language Models
by: Hartsock, Iryna, et al.
Published: (2024)
by: Hartsock, Iryna, et al.
Published: (2024)
Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study
by: Gao, Yanjun, et al.
Published: (2023)
by: Gao, Yanjun, et al.
Published: (2023)
Large Language Model Enhanced Knowledge Representation Learning: A Survey
by: Wang, Xin, et al.
Published: (2024)
by: Wang, Xin, et al.
Published: (2024)
Leveraging Large Language Models in Code Question Answering: Baselines and Issues
by: Andryushchenko, Georgy, et al.
Published: (2024)
by: Andryushchenko, Georgy, et al.
Published: (2024)
EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records
by: Zhao, Shuguang, et al.
Published: (2025)
by: Zhao, Shuguang, et al.
Published: (2025)
REEF: Representation Encoding Fingerprints for Large Language Models
by: Zhang, Jie, et al.
Published: (2024)
by: Zhang, Jie, et al.
Published: (2024)
RadAnnotate: Large Language Models for Efficient and Reliable Radiology Report Annotation
by: Shetty, Saisha Pradeep, et al.
Published: (2026)
by: Shetty, Saisha Pradeep, et al.
Published: (2026)
LlamaCare: A Large Medical Language Model for Enhancing Healthcare Knowledge Sharing
by: Sun, Maojun
Published: (2024)
by: Sun, Maojun
Published: (2024)
Disentangling Reasoning and Knowledge in Medical Large Language Models
by: Thapa, Rahul, et al.
Published: (2025)
by: Thapa, Rahul, et al.
Published: (2025)
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports
by: Zhu, Qingqing, et al.
Published: (2024)
by: Zhu, Qingqing, et al.
Published: (2024)
Enhancing Text-to-SQL Capabilities of Large Language Models via Domain Database Knowledge Injection
by: Ma, Xingyu, et al.
Published: (2024)
by: Ma, Xingyu, et al.
Published: (2024)
A Perspective on Large Language Models, Intelligent Machines, and Knowledge Acquisition
by: Cherkassky, Vladimir, et al.
Published: (2024)
by: Cherkassky, Vladimir, et al.
Published: (2024)
Gender Encoding Patterns in Pretrained Language Model Representations
by: Zakizadeh, Mahdi, et al.
Published: (2025)
by: Zakizadeh, Mahdi, et al.
Published: (2025)
Enhancing Building Semantics Preservation in AI Model Training with Large Language Model Encodings
by: Jang, Suhyung, et al.
Published: (2026)
by: Jang, Suhyung, et al.
Published: (2026)
Introducing Background Temperature to Characterise Hidden Randomness in Large Language Models
by: Messina, Alberto, et al.
Published: (2026)
by: Messina, Alberto, et al.
Published: (2026)
Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models for Educational Text Classification
by: Liu, Shiqi, et al.
Published: (2024)
by: Liu, Shiqi, et al.
Published: (2024)
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
by: Xu, Derong, et al.
Published: (2024)
by: Xu, Derong, et al.
Published: (2024)
Reviewing Clinical Knowledge in Medical Large Language Models: Training and Beyond
by: Li, Qiyuan, et al.
Published: (2025)
by: Li, Qiyuan, et al.
Published: (2025)
Generative Large Language Models Trained for Detecting Errors in Radiology Reports
by: Sun, Cong, et al.
Published: (2025)
by: Sun, Cong, et al.
Published: (2025)
Leveraging Large Language Models for Building Interpretable Rule-Based Data-to-Text Systems
by: Warczyński, Jędrzej, et al.
Published: (2025)
by: Warczyński, Jędrzej, et al.
Published: (2025)
Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation
by: Zhang, Yeqin, et al.
Published: (2025)
by: Zhang, Yeqin, et al.
Published: (2025)
KGGen: Extracting Knowledge Graphs from Plain Text with Language Models
by: Mo, Belinda, et al.
Published: (2025)
by: Mo, Belinda, et al.
Published: (2025)
Leveraging Computerized Adaptive Testing for Cost-effective Evaluation of Large Language Models in Medical Benchmarking
by: Zheng, Tianpeng, et al.
Published: (2026)
by: Zheng, Tianpeng, et al.
Published: (2026)
A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text using Large Language Models
by: Neuberger, Julian, et al.
Published: (2024)
by: Neuberger, Julian, et al.
Published: (2024)
Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately
by: Zhang, Liang, et al.
Published: (2024)
by: Zhang, Liang, et al.
Published: (2024)
Standardizing Longitudinal Radiology Report Evaluation via Large Language Model Annotation
by: Wang, Xinyi, et al.
Published: (2026)
by: Wang, Xinyi, et al.
Published: (2026)
MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway Encoding
by: Wu, Jiageng, et al.
Published: (2024)
by: Wu, Jiageng, et al.
Published: (2024)
CURE: Curriculum-guided Multi-task Training for Reliable Anatomy Grounded Report Generation
by: Messina, Pablo, et al.
Published: (2026)
by: Messina, Pablo, et al.
Published: (2026)
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese
by: Wang, Haochun, et al.
Published: (2023)
by: Wang, Haochun, et al.
Published: (2023)
Enhancing Text-based Knowledge Graph Completion with Zero-Shot Large Language Models: A Focus on Semantic Enhancement
by: Yang, Rui, et al.
Published: (2023)
by: Yang, Rui, et al.
Published: (2023)
Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education
by: Yang, Rui, et al.
Published: (2024)
by: Yang, Rui, et al.
Published: (2024)
Precision Knowledge Editing: Enhancing Safety in Large Language Models
by: Li, Xuying, et al.
Published: (2024)
by: Li, Xuying, et al.
Published: (2024)
Classification of Radiological Text in Small and Imbalanced Datasets in a Non-English Language
by: Beliveau, Vincent, et al.
Published: (2024)
by: Beliveau, Vincent, et al.
Published: (2024)
Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models
by: Vladika, Juraj, et al.
Published: (2025)
by: Vladika, Juraj, et al.
Published: (2025)
Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models
by: Lyu, Mengxian, et al.
Published: (2026)
by: Lyu, Mengxian, 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)
by: Niu, Chuang, et al.
Published: (2024)
KALE: Enhancing Knowledge Manipulation in Large Language Models via Knowledge-aware Learning
by: Lv, Qitan, et al.
Published: (2026)
by: Lv, Qitan, et al.
Published: (2026)
On Leveraging Large Language Models for Enhancing Entity Resolution: A Cost-efficient Approach
by: Li, Huahang, et al.
Published: (2024)
by: Li, Huahang, et al.
Published: (2024)
Similar Items
-
Radiology-GPT: A Large Language Model for Radiology
by: Liu, Zhengliang, et al.
Published: (2023) -
Leveraging Online Data to Enhance Medical Knowledge in a Small Persian Language Model
by: Ghassabi, Mehrdad, et al.
Published: (2025) -
Improving Radiology Report Conciseness and Structure via Local Large Language Models
by: Hartsock, Iryna, et al.
Published: (2024) -
Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study
by: Gao, Yanjun, et al.
Published: (2023) -
Large Language Model Enhanced Knowledge Representation Learning: A Survey
by: Wang, Xin, et al.
Published: (2024)