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.

IHU Strasbourg
The 2022 edition of the Surgical Data Science (SDS) Summer School will be jointly organised by the University of Strasbourg and the Institute of Image-Guided Surgery (IHU Strasbourg). The center offers a truly multidisciplinary environment to innovate in the image-guided surgery domain with strong collaborations with academia and industry. Surgeons and engineers work closely together on practical as well as moonshot research ideas. Promising ideas are funded and supported by internal and competitive research grants or by partnership programs, while developed and validated ideas are translated to products through licensing and startup spin-offs.

Keynote speakers

Nassir Navab, PhD

Nassir Navab, PhD

Professor, Technische Universität München

Stefanie Speidel, PhD

Stefanie Speidel, PhD

Professor, National Center for Tumor Diseases (NCT) Dresden

Lena Maier-Hein, PhD

Lena Maier-Hein, PhD

Professor, German Cancer Research Center

Swaroop Vedula, PhD

Swaroop Vedula, PhD

Assistant Research Professor, Johns Hopkins University

Lee Swanstrom, MD

Lee Swanstrom, MD

Scientific Director, IHU Strasbourg, France

Cesare Hassan, MD

Cesare Hassan, MD

Associate Professor, Humanitas Rozzano, Italy

Teodor Grantcharov, MD

Teodor Grantcharov, MD

Professor of Surgery, University of Toronto

Dirk Wilhelm, MD

Dirk Wilhelm, MD

Visceral Surgeon, Technical University Munich

Amin Madani, MD

Amin Madani, MD

Endocrine and acute care surgeon, UHN

Daniel Hashimoto, MD

Daniel Hashimoto, MD

Clinical Fellow in Surgery, Massachusetts General Hospital/Harvard Medical School

Offsite & onsite lecturers

Ivo BOŠKOSKI
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”

Deepak ALAPATT
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?

Applicants for the onsite course should be:

    • Medical students in their last year
    • Physicians in residency, master or PhD
    • Computer scientists/engineers at a master, doctoral or postdoctoral level

 

Application process

Applicants need to do the following steps:

    • 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

    • 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

Nicolas Padoy, PhD

Professor, University of Strasbourg, Director of AI Research, IHU Strasbourg

Pietro Mascagni, MD

Pietro Mascagni, MD

Researcher, IHU Strasbourg

Agnès Gronfier

Agnès Gronfier

Educational Program Manager, IHU Strasburg

Vinkle Srivastav, PhD

Vinkle Srivastav, PhD

Postdoctoral Researcher, University of Strasbourg

Alexandros Karargyris, PhD

Alexandros Karargyris, PhD

Researcher, IHU Strasbourg

Justine Chadefaux

Justine Chadefaux

Administrative Assistant, IHU Strasbourg

Silvana Perretta, MD

Silvana Perretta, MD

Professor of Surgery, Director of Education, IHU Strasbourg

IHU Strasbourg
IHU Strasbourg
Investir l'avenir
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.