M2CAI 2013 is a wrap!

Thank you for presenters, audience, and

organizing committee members.













Photos are uploaded to “Program” page.


Welcome to  Workshop on “Modeling and Monitoring of Computer Assisted Interventions (M2CAI)”

The fourth M2CAI workshop aims to boost the well-established forum for discussing advanced methods for acquisition, analysis, modeling, and monitoring of surgical/interventional processes. Surgical processes are a complicated assembly of surgical knowledge and skills. Untangling surgical interventions to the finest detail will enable their deep understanding, standardization and sophistication as well as the optimization in the management of the operating room. Integration of information concerning the anatomy of the patient, diagnostic information, the operational status of medical devices, and the actions of the surgical staff is necessary for the context-aware operating room of the future. For that purpose, cutting-edge sensor systems, information processing algorithms, and statistical modeling should be adopted for a detailed analysis of the surgical workflow. This workshop will establish a new generation of context-aware Computer Assisted Intervention (CAI) systems.


Clinicians, researchers and medical companies are encouraged to join this workshop, to discuss issues and solutions on the acquisition, analysis, modeling, and monitoring of computer assisted interventions. A wide variety of elemental technologies, integration, and implementation are essential for context-aware Operating Room of the Future.


The topics to be covered by the workshop include but are not limited to:

  • Visual perception and attention
  • Context-aware operating rooms
  • Modeling/Representation of surgical procedures
  • Modeling for surgical simulation, training, and assessment
  • Modeling for surgical workflow evaluation and optimization
  • Recognition of surgical steps / actions / events
  • Semantic analysis of surgical interventions
  • Surgical sensor networks
  • Surgical skills assessment
  • Surgical data mining
  • Automatic surgery documentation