Strasbourg, July 18-22, 2022
Mission
The SDS summer school aims to promote research and innovation on computer/data science tools of clinical value by providing multidisciplinary education on surgical data science. The school is therefore dedicated to educating clinicians and computer scientists on respective contexts, needs, tools and methodologies.
Background
We are witnessing the transformation of operating rooms into smart hubs of interconnected advanced technologies where multiple, highly specialized professionals must coordinate for the benefit of patients. Such high-stake sociotechnical process is generally highly effective but error prone. Surgical data science aims to improve the safety and efficiency of modern surgery by modelling multimodal surgical data and developing artificial intelligence (AI) algorithms to provide timely assistance to caregivers.
However, to build clinically impactful surgical data science tools there is a need for a tight and effective collaboration between clinicians and computer scientists. Currently, there is a lack of opportunities for these community to meet, learn from each other and finally develop the common language needed to team up and complement each other.
SDS summer school
Educational materials on fundamentals of image-guided surgery and computer/data science is freely accessible on our dedicated online SDS portal. Upon completing these fundamentals, prospective participants will be able to apply to an onsite selective multi-day intensive summer school consisting of a series of lectures and hands-on labs. During the on-site school participants will get the unique opportunity to work in small teams on practical projects with mentors’ help. Towards this, related materials (datasets and trained models) and resources (accelerators) will be provided, and the teams will be challenged to come up with novel ideas and data science solutions of clinical value.
Keynote speakers
Nassir Navab, PhD
Professor, Technische Universität München
Stefanie Speidel, PhD
Professor, National Center for Tumor Diseases (NCT) Dresden
Lena Maier-Hein, PhD
Professor, German Cancer Research Center
Swaroop Vedula, PhD
Assistant Research Professor, Johns Hopkins University
Lee Swanstrom, MD
Scientific Director, IHU Strasbourg, France
Cesare Hassan, MD
Associate Professor, Humanitas Rozzano, Italy
Teodor Grantcharov, MD
Professor of Surgery, University of Toronto
Dirk Wilhelm, MD
Visceral Surgeon, Technical University Munich
Amin Madani, MD
Endocrine and acute care surgeon, UHN
Daniel Hashimoto, MD
Clinical Fellow in Surgery, Massachusetts General Hospital/Harvard Medical School
Offsite & onsite lecturers
Digestive Endoscopy, Fondazione A. Gemelli IRCCS University Hospital, Rome, Italy
Ursula CATENA
CLASS Hysteroscopy Center, Fondazione A. Gemelli IRCCS University Hospital, Rome, Italy
Bernard DALLEMAGNE
NHC University Hospital & IRCAD Strasbourg, France
Marco DELCOGLIANO
Service of Orthopaedic Surgery, EOC, Bellinzona, Switzerland
Woo Jin HYUNG
Department of Surgery, Yonsei University College of Medicine, Korea
Hani MARCUS
UCL Queen Square Institute of Neurology, London, UK
Kenneth Patrick SEASTEDT
Beth Israel Deaconess Medical Center in Boston, MA, USA
Rocco TRISOLINI
Interventional Pulmonology Division, Fondazione A. Gemelli IRCCS University Hospital, Rome, Italy
Riccardo Giuseppe Bertolo
Staff Urologist, San Carlo di Nancy Hospital, Rome, Italy
“… more to be announced”
Camma Lab , University of Strasbourg, France
Tobias CZEMPIEL
CAMP, Technical University Munich, Germany
Georgios EXARCHAKIS
Camma Lab, University of Strasbourg, France
Adit MURALI
Camma Lab , University of Strasbourg, France
Tong Yu
Camma Lab , University of Strasbourg, France
Chinedu Nwoye
Camma Lab , University of Strasbourg, France
Luca Sestini
Camma Lab , University of Strasbourg, France
Sanat RAMESH
University of Verona, Italy and University of Strasbourg, France
Sebastien Bodenstedt
National Center for Tumor Diseases (NCT) Dresden
“… more to be announced”
Who should consider applying?
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- Medical students in their last year
- Physicians in residency, master or PhD
- Computer scientists/engineers at a master, doctoral or postdoctoral level
Application process
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- Register on the EVE platform
- Complete the lectures on the EVE platform
- Apply to the SDS summer school
Prospective students will be notified via email by 1st of May 2022 to complete registration.
Registration fees
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- 250€ for students (e.g. medical, computer science, PhD student)
- 1000€ for industry participants
Registration cost covers summer school activities, breakfast & lunch, and social events. Upon receipt of motivation letter a small number of complimentary registrations for participants from under-resourced areas will be offered.
Important dates
- Launch of online lectures & opening of applications: 15th of March 2022
- Application deadline: 30th of April 2022
- Notification of decision: 6th of May 2022
- Registration deadline: 16th of May 2022
- SDS Summer School at IHU-Strasbourg: 18th – 22nd of July 2022
Program
The summer school’s five-day on-site intense program will consist of a series of lectures and hands-on labs. These would provide the participants with a unique opportunity to work in small teams on practical surgical data science projects under the guidance of mentors.
Day 1
1 – Learning Objectives
To familiarize with endoscopic platforms and machine learning algorithms
2 – Clinical Lecture(s)
Introduction to rigid endoscopy / to flexible endoscopy / to robotic-asssistance
3 – Computer Science Lecture(s)
Introduction to Machine Learning with applications in endoscopic videos / Introduction to Deep Learning with applications in endoscopic videos
4 – Clinical Hands-on at IHU-Strasbourg preclinical experimental platform
Dry and wet lab to experiment with rigid and flexible endoscopes
5 – Computer Science Hands-on
PyTorch/GPU – Fundamentals of Machine Learning and Deep Learning
6 – Keynotes
Clinical + Computer Science keynote presentations
7 – Group Project
8 – Social Event
Day 2
1 – Learning Objectives
To understand characteristics of endoscopic videos, metadata, ground-truth annotations and limited-data constraints
2 – Clinical Lecture(s)
Working with endoscopic videos: benefits & constraints – Best practices for endoscopic video annotation
3 – Computer Science Lecture(s)
Annotating and preparing endoscopic videos
4 – Clinical Hands-on at IHU-Strasbourg preclinical experimental platform
Dry and wet lab to experiment with endoscopic vision
5 – Computer Science Hands-on
Data preparation
6 – Keynotes
Clinical + Computer Science keynote presentations
7 – Group Project
8 – Social Event
Day 3
1 – Learning Objectives
To define clinical and computer science tasks using endoscopic videos
2 – Clinical Lecture(s)
Video-based assessment in surgery / Inferring surgical decision making from endoscopic videos
3 – Computer Science Lecture(s)
Design an ML pipeline for endoscopic tasks
4 – Clinical Hands-on at IHU-Strasbourg preclinical experimental platform
Live streaming from the operating room
5 – Computer Science Hands-on
Deep Learning models for classification/segmentation
6 – Keynotes
Clinical + Computer Science keynote presentations
7 – Group Project
8 – Social Event
Day 4
1 – Learning Objectives
To design and implement clinical and computer science experimental protocols
2 – Clinical Lecture(s)
Defining a surgical data science research project / Designing and implementing clinical trials with AI
3 – Computer Science Lecture(s)
Advanced Deep Learning techniques for endoscopic videos
4 – Clinical Hands-on at IHU-Strasbourg preclinical experimental platform
Live streaming from the operating room
5 – Computer Science Hands-on
Advanced Deep Learning techniques
6 – Keynotes
Clinical + Computer Science keynote presentations
7 – Group Project
8 – Social Event
Day 5
1 – Group Project
2 – Group Project
3 – Group Presentations
4 – Group Presentations
5 – Keynotes
Clinical + Computer Science keynote presentations
6 – Group Project
7 – Social Event
Organizers
Nicolas Padoy, PhD
Professor, University of Strasbourg, Director of AI Research, IHU Strasbourg
Pietro Mascagni, MD
Researcher, IHU Strasbourg
Agnès Gronfier
Educational Program Manager, IHU Strasburg
Vinkle Srivastav, PhD
Postdoctoral Researcher, University of Strasbourg
Alexandros Karargyris, PhD
Researcher, IHU Strasbourg
Justine Chadefaux
Administrative Assistant, IHU Strasbourg
Silvana Perretta, MD
Professor of Surgery, Director of Education, IHU Strasbourg
Sponsors
Please write to info@edu4sds.org to contact us for any other query
This educational project is supported by the Institute for Image-Guided Surgery.
The Institute is a designated part of the “Programme Investissements d’Avenir” and benefits from the financial support of the government managed by the “Agence Nationale de la Recherche” under reference code ANR-10-IAHU-02. The Institute is also funded by the Région Alsace, the Conseil Général du Bas-Rhin, the Communauté urbaine de Strasbourg and the European Union.
