8:30 AM - 8:35 AM:
Welcome and introduction
8:35 AM - 8:40 AM:
Award announcements
- Robert F. Wagner Award finalists for conferences 13408 and 13413
- Early-Career Investigator Award: Image-Guided Procedures, Robotic Interventions, and Modeling, sponsored by:
- Student Paper Award: Image-Guided Procedures, Robotic Interventions, and Modeling, sponsored by:
8:40 AM - 9:20 AM:
Image-guided surgery and examinations using ultrasound
Tim Salcudean, Univ. of British Columbia (Canada)
Many of today's cancer surgeries are carried out with robot assistance. Using real-time intra-operative ultrasound, we can overlay pre-operative imaging into the surgeon's console, enabling visualization of sub-surface anatomy and cancer at the same time with the standard laparoscopic camera view. We will discuss aspects of system design, visualization and registration methods that enable such visualization, and present our results. We will also present tissue and instrument tracking approaches that can be used in future augmented reality systems. For remote and underserved communities, we developed a teleultrasound approach that relies upon using a novice – the patient, a family member or friend – as a robot to carry out the examination. The novice wears a mixed reality headset and follows a rendered virtual ultrasound transducer with the actual transducer. The virtual transducer is controlled by an expert, who sees the remote ultrasound images and feels the transducer forces. This tightly-coupled expert-novice approach has advantages relative to both conventional and robotic teleultrasound. We discuss our system implementation and results.
Tim Salcudean has a Bachelor and Master's degree from McGill and a PhD from Berkeley, all in Electrical Engineering. He was Research Staff Member at IBM’s TJ Watson Research center prior to joining the University of British Columbia, where he holds the C.A. Laszlo Chair in Biomedical Engineering. He is on the steering committee of the IPCAI conference, on the program committee of MICCAI and on the Editorial Board of the International Journal of Robotics Research. He is a Fellow of IEEE, MICCAI and of the Canadian Academy of Engineering. His research interests are in medical robotics, in particular the integration of computer vision and ultrasound with medical robots, medical image analysis, ultrasound and elastography imaging.
This keynote is part of the Image-Guided Procedures, Robotic Interventions, and Modeling conference.
9:20 AM - 10:00 AM:
The future of diagnostics: the role of computational pathology in tomorrow's medicine
Geert J.S. Litjens, Radboud University Medical Center (Netherlands)
Computational Pathology has already led to remarkable innovations in diagnostics, achieving expert pathologist performance in tasks such as prostate cancer grading and cancer metastasis detection. In recent years, we have seen rapid advances, with weakly supervised models able to predict patient outcomes or genetic mutations and foundation models enabling application to rarer diseases. However, this only scratches the surface of what will be possible in the near future. In this talk, I will briefly touch on the history of computational pathology and how we got to where we are today. Subsequently, I will highlight the current methodological innovations in the field and their potential for causing a paradigm shift in diagnostic pathology. I will discuss how these innovations, combined with the AI-driven integration of radiology, pathology, and 'omics data streams, could change the future of diagnostics as a whole. Last, I will discuss the challenges and pitfalls moving forward and how we, as a community, can contribute to addressing them.
Geert Litjens is full professor of Artificial Intelligence for analysis of medical images in radiology and pathology at Radboud University Medical Center and co-chairs the Computation Pathology Group within the Diagnostic Image Analysis Group. His work focusses on application of modern machine learning methods to oncological pathology. Furthermore, he leads and particaptes in several research project bridging the gap between medical specialties such as in prostate and pancreatic cancer. Last, within the European BIGPICTURE project he leads the work package on artificial intelligence.
This keynote is part of the Digital and Computational Pathology conference.
Event Details
FORMAT: General session with live audience Q&A to follow each presentation.MENU: Coffee, decaf, and tea will be available outside presentation room.
SETUP: Assortment of classroom and theater style seating.