Full Day Workshop on Medical Cyber-Physical Systems May 7, 2010
Goal and Scope	The goal of this workshop is to expose and explore current research issues in advanced medical systems in which computation is intimately coupled to physical systems and humans. The integration of computation with physical systems has the potential to improve speed, precision, and dexterity during robot-assisted surgery as well as enable new medical procedures. This full-day workshop will bring together researchers and practitioners to discuss new and emerging algorithms, devices, sensors, and user interfaces for medical cyber-physical systems, including robotic surgical assistants and other medical robotic systems. We will focus on both computation to improve the planning, control, and effectiveness of these systems as well as new devices and hardware that enable more dexterity and better sensing. We will share, discuss, and develop new ideas regarding the following major research challenges in medical cyber-physical systems: planning and automating surgical tasks; guidance via imaging, vision, and novel sensors; modeling and descriptions of surgical tasks; interoperable tele-operation for telesurgery; tissue models for control and design of interventional systems; beating heart surgery; advanced user interfaces for medical devices; and benchmarks for evaluation of surgical performance.
Intended audience	Researchers from both universities and industry who are engaged in medical robotics as well as engineers from industry who are developing medical robotic devices. Researchers in surgical robotics come from many fields, including computer science, electrical engineering, mechanical engineering, and biomedical engineering. Researchers and students from the above areas who wish to start projects in surgical robotics or who encounter related challenges of motion planning, control, deformable workspaces, uncertainty, and teleoperation in their own research.
List of Topics	Planning and Automating Surgical Tasks Guidance via Imaging, Vision, and Novel Sensors Modeling and Descriptions of Surgical Tasks Interoperable Teleloperation for Telesurgery Tissue Models for Control and Design of Systems Beating Heart Surgery Advanced User Interfaces for Medical Devices Benchmarks for Evaluation of Surgical Performance
Timetable	8:45am - 9:00am Welcome / Introduction 9:00am - 10:20am Invited talks on Theme 1 10:20am - 10:50am Coffee Break 10:50am - 11:30am Invited talks on Theme 2 11:30am - 12:30pm Discussion 12:30pm - 2:00pm Working Lunch 2:00pm - 3:20pm Invited talks on Theme 3 3:20pm - 3:50pm Coffee break 3:50pm - 4:30pm Invited talks on Theme 4 4:30pm - 6:00pm Discussion and Closing
Invited Speakers	Pieter Abbeel, University of California, Berkeley, USA   Howard Chizeck, University of Washington, USA   Jaydev Desai, University of Maryland, College Park, USA   Simon DiMaio, Intuitive Surgical, USA   Warren S. Grundfest, University of California, Los Angeles, USA   Gregory D. Hager, Johns Hopkins University, USA   Robert Howe, Harvard University, USA   Kenji Kawashima, Tokyo Institute of Technology, Japan   Mamoru Mitsuishi, The University of Tokyo, Japan   George Mylonas, Imperial College London, UK   Paul Griffiths and Allison Okamura, Johns Hopkins University, USA   Jacob Rosen, University of California, Santa Cruz, USA   Ganesh Sankaranarayanan, Rensselaer Polytechnic Institute, USA   Russel H. Taylor, Johns Hopkins University, USA
Orginizers	Blake Hannaford, Professor Department of Electrical Engineering University of Washington Box 352500 Seattle, WA 98195 1 (206) 543-2197 hannafordee.washington.edu http://www.ee.washington.edu/faculty/hannaford   Ron Alterovitz, Assistant Professor Department of Computer Science University of North Carolina at Chapel Hill Chapel Hill, NC 27599-3175 1 (919) 962-1768 roncs.unc.edu http://www.cs.unc.edu/~ron         M. Cenk Cavusoglu, Associate Professor Department of Electrical Engineering and Computer Science Case Western Reserve University Cleveland, OH 44106-7071 1 (216) 368-4479 cavusoglucase.edu http://vorlon.case.edu/~mcc14/   Ken Goldberg, Professor Department of Industrial Engineering and Operations Research Department of Electrical Engineering and Computer Sciences University of California, Berkeley Berkeley, CA 94720-1777 1 (510) 643-9565 goldbergberkeley.edu http://www.ieor.berkeley.edu/~goldberg