Radiology Report Generation

Ask about this topic

Overview

Radiology report generation studies how to turn images such as chest X-rays, CT scans, and MRI into clinical findings and impressions. Common approaches use vision-language models with image-text alignment, anatomical or disease-specific features, retrieval of similar cases, and structured clinical concepts; newer systems also use agents, reinforcement learning, and prior studies to guide or refine reports. The field has improved on language and clinical-label benchmarks, but fluent text can still omit findings, invent details, or miss their location and change over time. A central challenge is evaluating factual accuracy and usefulness across hospitals and modalities, since text similarity alone does not reliably measure clinical correctness.

Latest papers

CardsList

159 papers20 papers in the last four weeks, up 5% on the four weeks before. 0.1% of all new papers.

  1. ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion

    Apr 10, 2026Lifeng Chen, Tianqi You, Hao Liu +8Radiology Report GenerationRadiology VLMs

    AIRC, Midea Group · Beijing Jiaotong University · Dalian University of Technology

  2. BAAI Cardiac Agent: An intelligent multimodal agent for automated reasoning and diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging

    Apr 5, 2026Taiping Qu, Hongkai Zhang, Lantian Zhang +18Medical AI AgentsMedical Diagnosis

    Beijing Academy of Artificial Intelligence, No. 150 Chengfu Road, Haidian District, Beijing 100084, China · Department of Radiology, Beijing Anzhen Hospital, Beijing Institute of Heart, Lung & Vascular Diseases, Capital Medical University, 2 Anzhen Road, Beijing 100029, China · Department of MR, the First Affiliated Hospital, Henan Medical University, 88 Jiankang Road, Weihui 453100, China +2

  3. Visual Instruction-Finetuned Language Model for Versatile Brain MR Image Tasks

    Apr 3, 2026Jonghun Kim, Sinyoung Ra, Hyunjin ParkMedical VLMsMultimodal Instruction Tuning

    Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea · Department of Artificial Intelligence, Sungkyunkwan University, Suwon, Korea

  4. An Explainable Vision-Language Model Framework with Adaptive PID-Tversky Loss for Lumbar Spinal Stenosis Diagnosis

    Apr 2, 2026Md. Sajeebul Islam Sk., Md. Mehedi Hasan Shawon, Md. Golam Rabiul AlamRadiology VLMsMedical Diagnosis

    Department of Computer Science and Engineering, , Dhaka, 1212, , Bangladesh. · Department of Electrical and Computer Engineering, , College Park, 20742, Maryland, USA.

  5. A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation

    Apr 1, 2026Yabin Zhang, Chong Wang, Yunhe Gao +19Radiology VLMsVLM Reasoning

    Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Palo Alto, CA, USA. · Department of Radiology, Stanford University, Stanford, CA, USA. · Department of Computer Science, Stanford University, Stanford, CA, USA. +4

  6. Less Is More? Selective Visual Attention to High-Importance Regions for Multimodal Radiology Summarization

    Mar 31, 2026Mst. Fahmida Sultana Naznin, Adnan Ibney Faruq, Mushfiqur Rahman +3Radiology VLMsRadiology Report Generation

    Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh · BRAC University, Dhaka 1212, Bangladesh · Curtin University, Bentley, WA 6102, Australia

  7. Calibrated Confidence Expression for Radiology Report Generation

    Mar 31, 2026David Bani-Harouni, Chantal Pellegrini, Julian Lüers +6Radiology Report GenerationMedical VLMs

    Computer Aided Medical Procedures, Technical University of Munich, Germany · Munich Center for Machine Learning (MCML), Germany · Department of Diagnostic and Interventional Radiology, TUM Klinikum rechts der Isar, Germany +3

  8. Seeing Like Radiologists: Context- and Gaze-Guided Vision-Language Pretraining for Chest X-rays

    Mar 27, 2026Kang Liu, Zhuoqi Ma, Siyu Liang +5Radiology VLMsMedical VLMs

    Xidian University, Xi’an, China · Wuhan University, Wuhan, China

  9. Curriculum-Driven 3D CT Report Generation via Language-Free Visual Grafting and Zone-Constrained Compression

    Mar 24, 2026V. K. Cody Bumgardner, Mitchell A. Klusty, Mahmut S. Gokmen +1CT Report GenerationRadiology Report Generation

    Center for Applied Artificial Intelligence, University of Kentucky, Lexington, KY 40506 USA

  10. Ran Score: a LLM-based Evaluation Score for Radiology Report Generation

    Mar 24, 2026Ran Zhang, Yucong Lin, Zhaoli Su +13Radiology Report EvaluationRadiology Report Generation

    School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China · Zhengzhou Research Institute, Beijing Institute of Technology, Zhengzhou 450003, China · School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China +7

  11. Grounded Multimodal Retrieval-Augmented Drafting of Radiology Impressions Using Case-Based Similarity Search

    Mar 18, 2026Himadri S SamantaRadiology Report GenerationMultimodal RAG

    Independent AI Researcher, Austin, Texas, USA

  12. DiffVP: Differential Visual Semantic Prompting for LLM-Based CT Report Generation

    Mar 18, 2026Yuhe Tian, Kun Zhang, Haoran Ma +4CT Report GenerationRadiology Report Generation

    Department of Electronic Engineering and Information Science, School of Information Science and Technology, University of Science and Technology of China (USTC), Hefei, Anhui 230026, China · Center for Medical Imaging, Robotics, Analytic Computing & Learning (MIRACLE), Suzhou Institute for Advanced Research, University of Science and Technology of China (USTC), Suzhou, Jiangsu 215123, China · Jiangsu Provincial Key Laboratory of Multimodal Digital Twin Technology, University of Science and Technology of China (USTC), Suzhou, Jiangsu 215123, China +2

  13. Beyond the Embedding Bottleneck: Adaptive Retrieval-Augmented 3D CT Report Generation

    Mar 16, 2026Renjie Liang, Yiling Ma, Yang Xing +6HealthcareMultimodal RAG

    University of Florida · Yale University · University of Southern California

  14. ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models

    Mar 16, 2026Duy Vu Minh Nguyen, Chinh Thanh Truong, Phuc Hoang Tran +4Radiology VLMsVLM Evaluation

    Industrial University of Ho Chi Minh City · Military Hospital 175 · Pythera AI +2

  15. EviAgent: Evidence-Driven Agent for Radiology Report Generation

    Mar 14, 2026Tuoshi Qi, Shenshen Bu, Yingfei Xiang +1Radiology Report GenerationMedical VLMs

    School of Computer Science and Engineering, Sun Yat-sen University · Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences · Sangfor Technologies, Shenzhen, Guangdong, China

  16. Unleashing Video Language Models for Fine-grained HRCT Report Generation

    Mar 12, 2026Yingying Fang, Huichi Zhou, KinHei Lee +4CT Report GenerationRadiology Report Generation

    Bioengineering Department, Imperial College London, London, UK · School of Biomedical Engineering & lmaging Sciences, King’s College London, London,UK

  17. Prototype-Based Knowledge Guidance for Fine-Grained Structured Radiology Reporting

    Mar 12, 2026Chantal Pellegrini, Adrian Delchev, Ege Özsoy +2Radiology Report GenerationRadiology VLMs

    Computer Aided Medical Procedures, Technische Universität München, Germany · Munich Center for Machine Learning, Germany

  18. Bridging the Skill Gap in Clinical CBCT Interpretation with CBCTRepD

    Mar 11, 2026Qinxin Wu, Fucheng Niu, Hengchuan Zhu +9Radiology Report GenerationHuman-AI Collaboration

    Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Zhejiang Key Laboratory of Oral Biomedical, Hangzhou, China. · College of Computer Science and Technology, Zhejiang University-University of Illinois Urbana-Champaign Institute, Zhejiang University, Hangzhou 310027, Zhejiang, China.

  19. PET-F2I: A Comprehensive Benchmark and Parameter-Efficient Fine-Tuning of LLMs for PET/CT Report Impression Generation

    Mar 11, 2026Yuchen Liu, Wenbo Zhang, Liling Peng +6Radiology Report GenerationMedical LLMs

    Fudan University · Shanghai Academy of Artificial Intelligence for Science · Shanghai Universal Medical Imaging Diagnostic Center +1

  20. CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation

    Mar 6, 2026Mohammed Baharoon, Thibault Heintz, Siavash Raissi +6Radiology Report EvaluationLLM Evaluation

    Department of Biomedical Informatics, Harvard Medical School, Boston, MA · Department of Radiation Oncology, Mass General Brigham, Boston, MA · King Fahad Hospital, Al-Ahsa Health Cluster, Al Hofuf, Saudi Arabia +2

  21. Structure Observation Driven Image-Text Contrastive Learning for Computed Tomography Report Generation

    Mar 5, 2026Hong Liu, Dong Wei, Qiong Peng +4CT Report GenerationRadiology Report Generation

    National Institute for Data Science in Health and Medicine, Xiamen University · Jarvis Research Center, Tencent YouTu Lab, Shenzhen, China · School of Informatics, Xiamen University, Xiamen, China +1

  22. Rethinking the Efficiency and Effectiveness of Reinforcement Learning for Radiology Report Generation

    Mar 4, 2026Zilin Lu, Ruifeng Yuan, Weiwei Cao +6Radiology Report GenerationSample-Efficient RL

    DAMO Academy, Alibaba Group · Ningbo No.2 Hospital, China · Hupan Lab, 310023, China +2

  23. NeuroSymb-MRG: Differentiable Abductive Reasoning with Active Uncertainty Minimization for Radiology Report Generation

    Mar 2, 2026Rong Fu, Yiqing Lyu, Chunlei Meng +9Radiology Report GenerationClinical Reasoning

    University of Macau · Tsinghua University · Fudan University +6

  24. Measuring What VLMs Don't Say: Validation Metrics Hide Clinical Terminology Erasure in Radiology Report Generation

    Mar 2, 2026Aditya Parikh, Aasa Feragen, Sneha Das +1VLM EvaluationRadiology Report Evaluation

    DTU Compute, Technical University of Denmark

  25. U-VLM: Hierarchical Vision Language Modeling for Report Generation

    Feb 28, 2026Pengcheng Shi, Minghui Zhang, Kehan Song +3Radiology Report GenerationVision-Language Models

    Medical Image Insights Co. Ltd., Shanghai, China · Shanghai Jiao Tong University, Shanghai, China

  26. LLM-Bootstrapped Targeted Finding Guidance for Factual MLLM-based Medical Report Generation

    Feb 28, 2026Cunyuan Yang, Dejuan Song, Xiaotao Pang +7Medical Report GenerationRadiology Report Generation

    Zhejiang University · The Second Affiliated Hospital Zhejiang University School of Medicine · Hangzhou Pu Jian Medical Technology Co., Ltd.

  27. Suppressing Prior-Comparison Hallucinations in Radiology Report Generation via Semantically Decoupled Latent Steering

    Feb 27, 2026Ao Li, Rui Liu, Mingjie Li +6Radiology Report GenerationVLM Hallucination Mitigation

    University of New South Wales · Australian Artificial Intelligence Institute, University of Technology Sydney · Stanford University +3

  28. MammoWise: Multi-Model Local RAG Pipeline for Mammography Report Generation

    Feb 25, 2026Raiyan Jahangir, Nafiz Imtiaz Khan, Amritanand Sudheerkumar +1Radiology Report GenerationMammography

    University of California, Davis, CA, USA

  29. Brain3D: Brain Report Automation via Inflated Vision Transformers in 3D

    Feb 25, 2026Mariano Barone, Francesco Di Serio, Giuseppe Riccio +4Radiology Report GenerationMedical VLMs

    University of Naples Federico II, Department of Electrical Engineering and Information Technology, Italy · Northwestern University, Dept. of Computer Science, McCormick School of Engineering and Applied Science, United States · Pegaso University, Department of Information Science and Technology, Italy

  30. BTReport: A Framework for Brain Tumor Radiology Report Generation with Clinically Relevant Features

    Feb 17, 2026Juampablo E. Heras Rivera, Dickson T. Chen, Tianyi Ren +4Radiology Report GenerationText Generation

    University of Washington · University of Washington School of Medicine · Microsoft Health AI +1