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.
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.
Who should consider applying?
- Medical students in their last year
- Physicians in residency, master or PhD
- Computer scientists/engineers at a master, doctoral or postdoctoral level
- 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 2023 to complete registration.
- 250€ for students (e.g. medical, computer science, PhD student)
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.
- Launch of online lectures & opening of applications: 9th of January 2023
- Application deadline: 30th of April 2023
- Notification of decision: 6th of May 2023
- Registration deadline: 16th of May 2023
- SDS Summer School at IHU-Strasbourg: 17th – 21nd of July 2023
The summer school’s five-day on-site intense program will consist of a series of lectures and hands-on labs. These will also provide the participants with a unique opportunity to work in small teams on practical surgical data science projects under the guidance of mentors.
Nicolas Padoy, PhD
Professor, University of Strasbourg, Director of AI Research, IHU Strasbourg
Pietro Mascagni, MD
Researcher, IHU Strasbourg
Educational Program Manager, IHU Strasbourg
Vinkle Srivastav, PhD
Research Scientist, IHU Strasbourg
Alexandros Karargyris, PhD
Researcher, IHU Strasbourg
Education Program Coordinator, IHU Strasbourg
Silvana Perretta, MD
Professor of Surgery, Director of Education, IHU Strasbourg
Please write to email@example.com 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.