mlsanityData to 7 Oct 2026

Radiology-GPT: A Large Language Model for Radiology

arXiv 2306.08666 ↗First posted 14 Jun 2023cs.CL cs.AIcited by 44

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Abstract (arXiv)

We introduce Radiology-GPT, a large language model for radiology. Using an instruction tuning approach on an extensive dataset of radiology domain knowledge, Radiology-GPT demonstrates superior performance compared to general language models such as StableLM, Dolly and LLaMA. It exhibits significant versatility in radiological diagnosis, research, and communication. This work serves as a catalyst for future developments in clinical NLP. The successful implementation of Radiology-GPT is indicative of the potential of localizing generative large language models, specifically tailored for distinctive medical specialties, while ensuring adherence to privacy standards such as HIPAA. The prospect of developing individualized, large-scale language models that cater to specific needs of various hospitals presents a promising direction. The fusion of conversational competence and domain-specific knowledge in these models is set to foster future development in healthcare AI. A demo of Radiology-GPT is available at https://huggingface.co/spaces/allen-eric/radiology-gpt.

Key facts. Cited by 44 papers in the map (data through 7 Oct 2026). Builds on 24 of its 57 references that are in the map. First posted on arXiv 14 Jun 2023.

Builds on

24 of 57 references.

References · 24

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12 more
  1. 2023PaLM 2 Technical Reportcited by 1,154
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  6. 2023An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPTcited by 57
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  9. 2023Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Taskcited by 32
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Citing papers per year: 2023: 21; 2024: 17; 2025: 6.

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  1. 2024A Survey on the Memory Mechanism of Large Language Model based Agentscited by 622
  2. 2024Revolutionizing Finance with LLMs: An Overview of Applications and Insightscited by 88
  3. 2024Advancing Multimodal Medical Capabilities of Geminicited by 88
  4. 2023Review of Large Vision Models and Visual Prompt Engineeringcited by 77
  5. 2023MAIRA-1: A specialised large multimodal model for radiology report generationcited by 72
  6. 2024Understanding LLMs: A Comprehensive Overview from Training to Inferencecited by 58
  7. 2023Radiology-Llama2: Best-in-Class Large Language Model for Radiologycited by 42
  8. 2023SAMAug: Point Prompt Augmentation for Segment Anything Modelcited by 38
  9. 2023GeoGalactica: A Scientific Large Language Model in Geosciencecited by 32
  10. 2023Segment Anything Model (SAM) for Radiation Oncologycited by 24
  11. 2024An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generationcited by 23
  12. 2023Multimodality of AI for Education: Towards Artificial General Intelligencecited by 21
32 more
  1. 2023Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Modelscited by 20
  2. 2023LLM-driven Multimodal Target Volume Contouring in Radiation Oncologycited by 20
  3. 2023RadOnc-GPT: A Large Language Model for Radiation Oncologycited by 18
  4. 2023ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Datacited by 14
  5. 2023Evaluating Large Language Models for Radiology Natural Language Processingcited by 12
  6. 2023Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Reviewcited by 8
  7. 2024Geneverse: A collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Researchcited by 8
  8. 2024From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practicecited by 8
  9. 2023Multimodal Foundation Models For Echocardiogram Interpretationcited by 6
  10. 2023Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classificationcited by 5
  11. 2023GPT vs Human for Scientific Reviews: A Dual Source Review on Applications of ChatGPT in Sciencecited by 5
  12. 2024TV-SAM: Increasing Zero-Shot Segmentation Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotationcited by 5
  13. 2023KwaiYiiMath: Technical Reportcited by 4
  14. 2024RAD-PHI2: Instruction Tuning PHI-2 for Radiologycited by 4
  15. 2024Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generationcited by 4
  16. 2025RadOnc-GPT: An Autonomous LLM Agent for Real-Time Patient Outcomes Labeling at Scalecited by 4
  17. 2023PharmacyGPT: The AI Pharmacistcited by 3
  18. 2024GPT-4's assessment of its performance in a USMLE-based case studycited by 3
  19. 2024Leveraging Large Language Models for Enhancing Public Transit Servicescited by 3
  20. 2024RadPhi-3: Small Language Models for Radiologycited by 3
  21. 2025RAU: Reference-based Anatomical Understanding with Vision Language Modelscited by 3
  22. 2023Automatic Personalized Impression Generation for PET Reports Using Large Language Modelscited by 2
  23. 2023Evaluating Large Language Models in Ophthalmologycited by 2
  24. 2024Towards Training A Chinese Large Language Model for Anesthesiologycited by 2
  25. 2025Empowering Real-World: A Survey on the Technology, Practice, and Evaluation of LLM-driven Industry Agentscited by 2
  26. 2023SkyMath: Technical Reportcited by 1
  27. 2024Integrating ChatGPT into Secure Hospital Networks: A Case Study on Improving Radiology Report Analysiscited by 1
  28. 2024Towards Efficient Patient Recruitment for Clinical Trials: Application of a Prompt-Based Learning Modelcited by 1
  29. 2024A Survey for Large Language Models in Biomedicinecited by 1
  30. 2025An Automated Retrieval-Augmented Generation LLaMA-4 109B-based System for Evaluating Radiotherapy Treatment Planscited by 0
  31. 2025IMACT-CXR: An Interactive Multi-Agent Conversational Tutoring System for Chest X-Ray Interpretationcited by 0
  32. 2025Automated Identification of Incidentalomas Requiring Follow-Up: A Multi-Anatomy Evaluation of LLM-Based and Supervised Approachescited by 0