This paper describes an online tool for the visualization of medical emergency locations, randomly generated sample paths of medical emergencies, and the animation of ambulance movements under the control of various dispatch methods in response to these emergencies. The tool incorporates statistical models for forecasting emergency locations and call arrival times, the simulation of emergency arrivals and ambulance movement trajectories, and the computation and visualization of performance metrics such as ambulance response time distributions. Data for the Rio de Janeiro Emergency Medical Service are available on the website. A user can upload emergency data for any Emergency Medical Service, and can then use the visualization tool to explore the uploaded data. A user can also use the statistical tools and/or the simulation tool with any of the dispatch methods provided, and can then use the visualization tool to explore the computational output. Future enhancements include the ability of a user to embed additional dispatch algorithms into the simulation; the tool can then be used to visualize the simulation results obtained with the newly embedded algorithms.
Situated Action in Pre-Hospital Critical Care Dispatch: Identifying where and how Algorithmic Assistance might be useful in the daily work of specialist Emergency Medical Dispatchers
Swansea University（斯旺西大学）；EMRTS, Swansea Bay UHB（EMRTS，斯旺西湾大学健康保健董事会）
A Design Study Process Model for Medical Visualization
Institute of Medical Technology, Peking University Health Science Center（北京大学医学部医疗技术研究所）；National Institute of Health Data Science (NIHDS), Peking University（北京大学健康数据科学国家研究院）
Physics-informed GANs for Coastal Flood Visualization
Massachusetts Institute of Technology（麻省理工学院）；Max Planck Institute for Biogeochemistry（马克斯·普朗克生物地球化学研究所）；Spatial Informatics Group（空间信息集团）；ENSTA Institut Polytechnique Paris（巴黎国立高等先进技术学院）；MIT Media Lab（麻省理工学院媒体实验室）；NASA Headquarters（美国国家航空航天局总部）；Latent Sciences（潜在科学公司）；University of Oxford（牛津大学）；Ubisoft（育碧）
ClipGS-VR: Immersive and Interactive Cinematic Visualization of Volumetric Medical Data in Mobile Virtual Reality
Department of Computer Science and Engineering and Institute of Medical Intelligence and XR The Chinese University of Hong Kong（香港中文大学计算机科学与工程系及医疗智能与扩展现实研究所）
Enhance Comprehension of Over-the-Counter Drug Instructions for the General Public and Medical Professionals through Visualization Design
Institute of Medical Technology, Peking University Health Science Center（北京大学健康科学中心医学技术研究所）；National Institute of Health Data Science, Peking University（北京大学国家健康数据科学研究院）；Visualization Research Center (VISUS), University of Stuttgart（斯图加特大学可视化研究中心）；Peking University Third Hospital（北京大学第三医院）；School of Journalism and Communication, Peking University（北京大学新闻与传播学院）
DispatchMAS: Fusing taxonomy and artificial intelligence agents for emergency medical services
Shandong University（山东大学）；The Chinese University of Hong Kong（香港中文大学）；Pennsylvania State University（宾夕法尼亚州立大学）；Stanford University School of Medicine（斯坦福大学医学院）；University of California（加州大学）；University of Macau（澳门大学）；New York University（纽约大学）；Broad Institute of MIT（MITBroad研究所）；The University of Hong Kong（香港大学）；Chinese Academy of Medical Sciences（中国医学科学院）；Peking Union Medical College（北京协和医学院）；Rutgers University（罗格斯大学）；University of South Florida（佛罗里达州立大学）
A Large-Scale Feasibility Study of Screen-based 3D Visualization and Augmented Reality Tools for Human Anatomy Education: Exploring Gender Perspectives in Learning Experience
User Perception of Attention Visualizations: Effects on Interpretability Across Evidence-Based Medical Documents
CENIA – Centro Nacional de Inteligencia Artificial（CENIA – 国家人工智能中心）；Pontificia Universidad Católica de Chile（天主教大学）；University of Pittsburgh（匹兹堡大学）；KU Leuven（根特大学）
