mlsanityData to 7 Oct 2026

MedSyn: LLM-based Synthetic Medical Text Generation Framework

arXiv 2408.02056 ↗First posted 4 Aug 2024cs.CL cs.LGcited by 19

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Abstract (arXiv)

Generating synthetic text addresses the challenge of data availability in privacy-sensitive domains such as healthcare. This study explores the applicability of synthetic data in real-world medical settings. We introduce MedSyn, a novel medical text generation framework that integrates large language models with a Medical Knowledge Graph (MKG). We use MKG to sample prior medical information for the prompt and generate synthetic clinical notes with GPT-4 and fine-tuned LLaMA models. We assess the benefit of synthetic data through application in the ICD code prediction task. Our research indicates that synthetic data can increase the classification accuracy of vital and challenging codes by up to 17.8% compared to settings without synthetic data. Furthermore, to provide new data for further research in the healthcare domain, we present the largest open-source synthetic dataset of clinical notes for the Russian language, comprising over 41k samples covering 219 ICD-10 codes.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). Builds on 24 of its 47 references that are in the map. First posted on arXiv 4 Aug 2024.

Builds on

24 of 47 references.

References · 24

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2023GPT-4 Technical Reportcited by 18,132
  3. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
  4. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  5. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  6. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,462
  7. 2022Large Language Models Encode Clinical Knowledgecited by 1,807
  8. 2023The Internal State of an LLM Knows When It's Lyingcited by 644
  9. 2022BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Miningcited by 531
  10. 2019ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmissioncited by 487
  11. 2023HuatuoGPT, towards Taming Language Model to Be a Doctorcited by 211
  12. 2017Generating Multi-label Discrete Patient Records using Generative Adversarial Networkscited by 197
12 more
  1. 2023A Study of Generative Large Language Model for Medical Research and Healthcarecited by 160
  2. 2023Does Synthetic Data Generation of LLMs Help Clinical Text Mining?cited by 151
  3. 2018Lessons from Natural Language Inference in the Clinical Domaincited by 149
  4. 2018emrQA: A Large Corpus for Question Answering on Electronic Medical Recordscited by 134
  5. 2023DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Taskcited by 130
  6. 2019Adaptation of Deep Bidirectional Multilingual Transformers for Russian Languagecited by 109
  7. 2023Summarizing, Simplifying, and Synthesizing Medical Evidence Using GPT-3 (with Varying Success)cited by 40
  8. 2023Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classificationcited by 19
  9. 2022RuMedBench: A Russian Medical Language Understanding Benchmarkcited by 10
  10. 2019Incorporating Domain Knowledge into Medical NLI using Knowledge Graphscited by 7
  11. 2023BioLORD-2023: Semantic Textual Representations Fusing LLM and Clinical Knowledge Graph Insightscited by 7
  12. 2022RuBioRoBERTa: a pre-trained biomedical language model for Russian language biomedical text miningcited by 6

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 11; 2026: 7.

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  2. 2025A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMscited by 13
  3. 2025Method-Based Reasoning for Large Language Models: Extraction, Reuse, and Continuous Improvementcited by 6
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  5. 2024Enhancing disease detection in radiology reports through fine-tuning lightweight LLM on weak labelscited by 5
  6. 2025Knowledge Hierarchy Guided Biological-Medical Dataset Distillation for Domain LLM Trainingcited by 5
  7. 2025Leveraging LLMs for User Stories in AI Systems: UStAI Datasetcited by 4
  8. 2026A Severity-Based Curriculum Learning Strategy for Arabic Medical Text Generationcited by 2
  9. 2025Enhancing Patient-Centric Communication: Leveraging LLMs to Simulate Patient Perspectivescited by 1
  10. 2025Knowledge-Driven Agentic Scientific Corpus Distillation Framework for Biomedical Large Language Models Trainingcited by 1
  11. 2026Evaluating the Pre-Consultation Ability of LLMs using Diagnostic Guidelinescited by 1
  12. 2026Cleansing the Artificial Mind: A Self-Reflective Detoxification Framework for Large Language Modelscited by 1
7 more
  1. 2025An Integrated Approach to AI-Generated Content in e-healthcited by 0
  2. 2025ProKG-Dial: Progressive Multi-Turn Dialogue Construction with Domain Knowledge Graphscited by 0
  3. 2025Synthetic medical data generation: state of the art and application to trauma mechanism classificationcited by 0
  4. 2026DP-MGTD: Privacy-Preserving Machine-Generated Text Detection via Adaptive Differentially Private Entity Sanitizationcited by 0
  5. 2026Generalistic or Specific Embeddings, Which is Better? An Empirical Study on Search for Clinical Coding in Non-English Languagescited by 0
  6. 2026A Self Consistency Based Reranking for Narrative Question Answeringcited by 0
  7. 2026Dissecting Neuro-Symbolic Quality Assurance for Synthetic Oncology Data Generationcited by 0