mlsanityData to 7 Oct 2026

Large Language Models for Medicine: A Survey

arXiv 2405.13055 ↗First posted 20 May 2024cs.CL cs.AI cs.CYcited by 38

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Abstract (arXiv)

To address challenges in the digital economy's landscape of digital intelligence, large language models (LLMs) have been developed. Improvements in computational power and available resources have significantly advanced LLMs, allowing their integration into diverse domains for human life. Medical LLMs are essential application tools with potential across various medical scenarios. In this paper, we review LLM developments, focusing on the requirements and applications of medical LLMs. We provide a concise overview of existing models, aiming to explore advanced research directions and benefit researchers for future medical applications. We emphasize the advantages of medical LLMs in applications, as well as the challenges encountered during their development. Finally, we suggest directions for technical integration to mitigate challenges and potential research directions for the future of medical LLMs, aiming to meet the demands of the medical field better.

Key facts. Cited by 38 papers in the map (data through 7 Oct 2026). Builds on 64 of its 169 references that are in the map. First posted on arXiv 20 May 2024.

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64 of 169 references.

References · 64

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38 more
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 9; 2025: 19; 2026: 10.

38 papers.

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  1. 2024Graph Retrieval-Augmented Generation: A Surveycited by 320
  2. 2025A Survey of LLM-based Agents in Medicine: How far are we from Baymax?cited by 84
  3. 2025In-depth Analysis of Graph-based RAG in a Unified Frameworkcited by 45
  4. 2025Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planningcited by 31
  5. 2025ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generationcited by 27
  6. 2024Watermarking Techniques for Large Language Models: A Surveycited by 20
  7. 2025Mixture of Experts (MoE): A Big Data Perspectivecited by 17
  8. 2024M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretationcited by 16
  9. 2025Firm or Fickle? Evaluating Large Language Models Consistency in Sequential Interactionscited by 12
  10. 2026Memory in the LLM Era: Modular Architectures and Strategies in a Unified Frameworkcited by 12
  11. 2025Set-LLM: A Permutation-Invariant LLMcited by 10
  12. 2025Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QAcited by 9
26 more
  1. 2024Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Modelscited by 7
  2. 2024AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Modelcited by 3
  3. 2025Representing LLMs in Prompt Semantic Task Spacecited by 3
  4. 2026Privacy-Preserving Reinforcement Learning from Human Feedback via Decoupled Reward Modelingcited by 3
  5. 2024Harden Deep Neural Networks Against Fault Injections Through Weight Scalingcited by 2
  6. 2024Learning Personalized Prompts for Healthcare Guidancecited by 2
  7. 2025ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Trainingcited by 2
  8. 2026Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theorycited by 2
  9. 2025EPEE: Towards Efficient and Effective Foundation Models in Biomedicinecited by 1
  10. 2025DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deploymentcited by 1
  11. 2025Advances in Large Language Models for Medicinecited by 1
  12. 2025Easy Adaptation: An Efficient Task-Specific Knowledge Injection Method for Large Models in Resource-Constrained Environmentscited by 1
  13. 2026LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuningcited by 1
  14. 2026VGS-Decoding: Visual Grounding Score Guided Decoding for Hallucination Mitigation in Medical VLMscited by 1
  15. 2024Stochastic Parrots or ICU Experts? Large Language Models in Critical Care Medicine: A Scoping Reviewcited by 0
  16. 2024MedGo: A Chinese Medical Large Language Modelcited by 0
  17. 2025PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Languagecited by 0
  18. 2025SOLVE-Med: Specialized Orchestration for Leading Vertical Experts across Medical Specialtiescited by 0
  19. 2025IMACT-CXR: An Interactive Multi-Agent Conversational Tutoring System for Chest X-Ray Interpretationcited by 0
  20. 2025An Information-Theoretic Framework for Robust Large Language Model Editingcited by 0
  21. 2025Reservoir Computing inspired Matrix Multiplication-free Language Modelcited by 0
  22. 2026Self-MedRAG: a Self-Reflective Hybrid Retrieval-Augmented Generation Framework for Reliable Medical Question Answeringcited by 0
  23. 2026Incentive-Aware AI Safety via Strategic Resource Allocation: A Stackelberg Security Games Perspectivecited by 0
  24. 2026Mining Negative Sequential Patterns to Improve Viral Genomic Feature Representation and Classificationcited by 0
  25. 2026A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Taskscited by 0
  26. 2026Toward Vibe Medicine: A Self-Evolving Multi-Agent Framework for Clinical Decision Supportcited by 0