Agentic Systems in Radiology: Design, Applications, Evaluation, and Challenges
Christian Bluethgen, Dave Van Veen, Daniel Truhn, Jakob Nikolas Kather, Michael Moor, Malgorzata Polacin, Akshay Chaudhari, Thomas Frauenfelder, Curtis P. Langl… 展开作者
Christian Bluethgen, Dave Van Veen, Daniel Truhn, Jakob Nikolas Kather, Michael Moor, Malgorzata Polacin, Akshay Chaudhari, Thomas Frauenfelder, Curtis P. Langlotz, Michael Krauthammer, Farhad Nooralahzadeh
Building agents, systems that perceive and act upon their environment with a degree of autonomy, has long been a focus of AI research. This pursuit has recently become vastly more practical with the emergence of large language models (LLMs) capable of using natural language to integrate information, follow instructions, and perform forms of "reasoning" and planning across a wide range of tasks. With its multimodal data streams and orchestrated workflows spanning multiple systems, radiology is uniquely suited to benefit from agents that can adapt to context and automate repetitive yet complex tasks. In radiology, LLMs and their multimodal variants have already demonstrated promising performance for individual tasks such as information extraction and report summarization. However, using LLMs in isolation underutilizes their potential to support complex, multi-step workflows where decisions depend on evolving context from multiple information sources. Equipping LLMs with external tools and feedback mechanisms enables them to drive systems that exhibit a spectrum of autonomy, ranging from semi-automated workflows to more adaptive agents capable of managing complex processes. This review examines the design of such LLM-driven agentic systems, highlights key applications, discusses evaluation methods for planning and tool use, and outlines challenges such as error cascades, tool-use efficiency, and health IT integration.
Redefining Elderly Care with Agentic AI: Challenges and Opportunities
Engineering Requirement Unit, College of Engineering, United Arab Emirates University（阿联酋大学工程学院）；Department of Computer Science, Munster Technological University（穆斯特技术大学计算机科学系）；Division of Computing Science and Mathematics, University of Stirling（斯特林大学计算科学与数学系）
Agentic AI Frameworks: Architectures, Protocols, and Design Challenges
University of Kairouan（卡鲁安大学）；SMART Lab, University of Tunis（图纳大学SMART实验室）；University of Sousse（索斯大学）；Riadi Lab, Compus Manouba（曼努巴大学里亚迪实验室）；University of Jandouba（贾杜巴大学）
Agentic retrieval-augmented reasoning reshapes collective reliability under model variability in radiology question answering
RWTH Aachen University（亚琛工业大学）；Friedrich-Alexander-Universität Erlangen-Nürnberg（埃尔朗根-纽伦堡大学）；Technical University of Munich（慕尼黑工业大学）；University Hospital RWTH Aachen（亚琛工业大学医院）；University Hospital Erlangen（埃尔朗根大学医院）；Erlangen National High Performance Computing Center（埃尔朗根国家高性能计算中心）；Stanford University（斯坦福大学）
Reasoning RAG via System 1 or System 2: A Survey on Reasoning Agentic Retrieval-Augmented Generation for Industry Challenges
Beijing University of Posts and Telecommunications（北京邮电大学）；University of Georgia（佐治亚大学）；South China University of Technology（华南理工大学）；Technical University of Munich, University of Cologne（慕尼黑技术大学、科隆大学）；SenseTime Research（商汤科技研究院）；Qingyuan Research Institute, Shanghai Jiaotong University（青原研究院，上海交通大学）
Volumetric Radiology AI in the Era of Multimodal Large Language Models
Fudan University（复旦大学）；Northwestern Polytechnical University（西北工业大学）；Xi’an Jiaotong University（西安交通大学）；Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；Southern Medical University（南方医科大学）；The Chinese University of Hong Kong（香港中文大学）；University of British Columbia（不列颠哥伦比亚大学）；Microsoft Research（微软研究院）；Westlake University（西湖大学）
Top Ten Challenges Towards Agentic Neural Graph Databases
Department of Computer Science and Engineering, HKUST（香港科技大学计算机科学与工程学系）；Department of Mathematical Sciences, Tsinghua University（清华大学数学科学系）；AI Group, WeBank（微众银行AI团队）；Institute of Artificial Intelligence, Beihang University（北京航空航天大学人工智能研究院）；Wuhan University（武汉大学）；Sichuan University（四川大学）
A Security Analysis of Long-Horizon Agentic AI Systems: Threats, Evaluation, and Framework Development
Department of Computer Science, College of Computers and Information Technology, Taif University, KSA (Summer 2026)（计算机科学系，计算机与信息科技学院，泰夫大学，沙特阿拉伯（2026年夏季））
Human-AI Interaction (HAIx) Lab, Indian Institute of Technology Gandhinagar（人类-人工智能交互实验室，印度理工学院冈丁加尔）；Department of Computer Science and Engineering, Madhav Institute of Technology and Science Deemed University (MITS-DU)（计算机科学与工程系，马达夫技术与科学 deemed 大学（MITS-DU））；Multimedia and Information Security Research Group, Department of Computer Science and Engineering, ABV-Indian Institute of Information Technology and Management（多媒体与信息安全研究组，计算机科学与工程系，ABV-印度信息科技与管理学院）
Security and Privacy in Agentic AI: Grand Challenges and Future Directions
King’s College London（伦敦国王学院）；Jönköping University（琼斯平大学）；Universitat Politècnica de València（巴塞罗那理工大学）；Inria（法国国家信息与自动化技术研究所）；IBM Research（IBM研究院）；Aalto University（阿尔托大学）；INGENIO (CSIC–Universitat Politècnica de València)（INGENIO（西班牙国家科研委员会-巴塞罗那理工大学））；IMDEA Networks（IMDEA网络研究所）；University of Basel（巴塞尔大学）；Dutch Data Protection Authority (AP)（荷兰数据保护局）；University of Strathclyde（斯特拉斯克莱德大学）；Universitat Rovira i Virgili（罗维拉-维古利大学）；University of Bristol（布里斯托大学）；University of Dundee（邓迪大学）
Oversight Structures for Agentic AI in Public-Sector Organizations
Centre for Digital Governance, Hertie School（数字治理中心，赫尔姆斯学校）；Oxford Internet Institute, University of Oxford（牛津互联网研究所，牛津大学）；Weizenbaum Institute Berlin, Germany（贝伦贝格Weizenbaum研究所）；Technical University Munich, Germany（慕尼黑技术大学）
Opportunities and challenges in the application of large artificial intelligence models in radiology
College of Computer Science and Electronic Engineering, Hunan University（湖南大学计算机与通信学院）；The second xiangya hospital, National University of Defense Technology（国防科技大学湘雅二医院）；College of Military and Political Basic Education, National University of Defense Technology（国防科技大学军政基础教育学院）；Fullink Technology Group（福林科技集团）；Institute of Forest Resource Information Techniques, Chinese Academy of Forestry（中国林业科学研究院森林资源信息技术研究所）；The second xiangya hospital, Central South University（中南大学湘雅二医院）
Best Practices for Large Language Models in Radiology
Stanford Center for Artificial Intelligence in Medicine and Imaging（斯坦福大学人工智能医学与成像中心）；Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich（苏黎世大学医院放射诊断与介入放射学）；Department of Electrical Engineering, Stanford University（斯坦福大学电气工程系）；Department of Cardiothoracic Surgery, Stanford Medicine（斯坦福医学院心胸外科系）；Hugging Face；Department of Medical Education, Icahn School of Medicine at Mount Sinai（伊坎医学院Mount Sinai医学教育系）；NVIDIA Corporation（NVIDIA公司）；UT Health San Antonio（UT健康科学中心圣安东尼奥分校）；Department of Dermatology, Redwood City, CA, USA（红木城加州大学皮肤病学系）；Department of Biomedical Data Science, Stanford, CA, USA（斯坦福大学生物医学数据科学系）；Department of Medicine, Stanford, CA, USA（斯坦福大学医学系）；Department of Radiology, Stanford University（斯坦福大学放射学系）
MRScore: Evaluating Radiology Report Generation with LLM-based Reward System
The University of Sydney（悉尼大学）；Guangzhou University of Chinese Medicine（广州中医药大学）；The University of Adelaide（阿德莱德大学）；The University of Wollongong（卧龙岗大学）
CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck Models
German Research Center for Artificial Intelligence (DFKI)（德国人工智能研究中心）；Saarland University（萨尔兰大学）；University of Oldenburg（奥尔登堡大学）；Dhaka Medical College Hospital（达卡医学院医院）
FRAC-MAS: A Safe and Explainable Multi-Agent System for Fracture Diagnosis
Dwarkadas J Sanghvi College of Engineering（德瓦卡达斯J.桑吉维工程学院）；University of Amsterdam（阿姆斯特丹大学）；National University of Singapore（新加坡国立大学）；Georgia Institute of Technology（佐治亚理工学院）
Improving Radiology Report Conciseness and Structure via Local Large Language Models
Department of Machine Learning, H. Lee Moffitt Cancer Center & Research Institute（机器学习系，H. Lee Moffitt癌症中心与研究所在读机构）；Deparmtent of Diagnostic Imaging & Interventional Radiology, H. Lee Moffitt Cancer Center & Research Institute（诊断影像与介入放射学系，H. Lee Moffitt癌症中心与研究所在读机构）；Department of Radiology, James A. Haley VA Hospital（放射学系，James A. Haley退伍军人医院）
