Surgical Data Science Workshop 2019

OVERVIEW

The Surgical Data Science Initiative was initialized by the 1st international workshop on Surgical Data Science organized in Heidelberg, Germany, in June 2016. Key results of this first workshop were a common definition of the field of surgical data science ¹ as well as two white papers ¹² that identify, present and discuss key initiatives, potential standards, new results, and challenges in the context of surgical data science.

The second edition of the workshop took place on June 17th 2019 and was associated with the International Congress on Computer Assisted Radiology and Surgery (CARS) 2019. It focused on the following topics:

PART 1: OR2020 – Where do we stand? We revisited the document produced 15 years ago by Cleary et al. ³, investigated where we stand, what has hindered us to achieve some of the things envisioned and what are new trends that have not been considered at that time.

PART 2: Surgical Data Science key initiatives: Representatives of key international Surgical Data Science Initiatives gave presentations on the state of the art in the field.

PART 3: Industrial perspectives: Key players from industry shared the perspectives with the long-term goal to develop joint strategies towards efficient research-industry collaboration in the context of surgical data science.

PART 4: Towards Surgical Data Science success stories: Based on the input from the invited speakers as well as the results of the poll performed as part of the registration to the workshop we organized an interactive session with all workshop participants in which we discussed strategies to move the field forward.

The board of the workshop comprised leading clinical and technical experts from the field of surgical data science. Registration to the workshop was free. Industry sponsorship covered the catering.

The article resulting from this workshop is published in Medical Image Analysis ⁴.

COMMITTEE

GENERAL CHAIRS

Lena Maier-Hein
German Cancer Research Center (DKFZ)

Pierre Jannin
University of Rennes 1

Stefanie Speidel
NCT Dresden, Translational Surgical Oncology

Board (21 members)

Adrian Park
Anne Arundel Medical Center, Johns Hopkins University

Beat Müller
University Hospital Heidelberg

Bernard Gibaud
Inserm, University of Rennes 1

Carla Pugh
Stanford University

Danail Stoyanov
University College London

Gabor Fichtinger
The Perk Lab, Queen's University

Germain Forestier
University of Haute-Alsace

Gregory Hager
Johns Hopkins University

Hannes Kenngott
Heidelberg University Hospital

Hubertus Feussner
Technical University of Munich

Kevin Cleary
Children's National Medical Center

Makoto Hashizume
Kyushu University

Nassir Navab
Technical University of Munich, Johns Hopkins University

Nicolas Padoy
University of Strasbourg

Raphael Sznitman
ARTOTG Center, Ophthalmic Technology Lab

Ron Kikinis
Harvard Medical School, University of Bremen, MEVIS Fraunhofer

Russell Taylor
Johns Hopkins University

Stamatia Giannarou
Imperial College London

Swaroop Vedula
Malone Center, Johns Hopkins University

Teodor Grantcharov
St. Michael's Hospital, Li Ka Shing Knowledge Institute

Thomas Neumuth
Leipzig University

Executive staff (4 members)

Keno März
German Cancer Research Center (DKFZ)

Matthias Eisenmann
German Cancer Research Center (DKFZ)

Anand Malpani
Johns Hopkins University

Duygu Sarikaya
Inserm, University of Rennes 1

PROGRAM

You can download the program here.

VENUE

The workshop took place at Le Couvent des Jacobins Convention Center, Rennes, FRANCE.

Address: Le Couvent des Jacobins Convention Center 20 Place Sainte-Anne 35000 Rennes, FRANCE

Further information regarding the venue can be found on the CARS website.

FUNDING

The Surgical Data Science Workshop 2019 was organized as part of the Surgical Data Science Initiative funded by the National Center for Tumor Diseases Heidelberg (NCT) and was sponsored by KARL STORZ SE & Co. KG, Intuitive Surgical Inc., Verb Surgical Inc., the NCT, and the University of Rennes 1.

Footnotes

1. Lena Maier-Hein, Swaroop S. Vedula, Stefanie Speidel, Nassir Navab, Ron Kikinis, Adrian Park, Matthias Eisenmann, Hubertus Feussner, Germain Forestier, Stamatia Giannarou, Makoto Hashizume, Darko Katic, Hannes Kenngott, Michael Kranzfelder, Anand Malpani, Keno März, Thomas Neumuth, Nicolas Padoy, Carla Pugh, Nicolai Schoch, Danail Stoyanov, Russell Taylor, Martin Wagner, Gregory D. Hager and Pierre Jannin. Surgical data science for next-generation interventions. Nature Biomedical Engineering 1(9), 691 (2017). DOI 10.1038/s41551-017-0132-7 ↩ ↩²

2. Lena Maier-Hein, Matthias Eisenmann, Carolin Feldmann, Hubertus Feussner, Germain Forestier, Stamatia Giannarou, Bernard Gibaud, Gregory D. Hager, Makoto Hashizume, Darko Katic, Hannes Kenngott, Ron Kikinis, Michael Kranzfelder, Anand Malpani, Keno März, Beat Müller-Stich, Nassir Navab, Thomas Neumuth, Nicolas Padoy, Adrian Park, Carla Pugh, Nicolai Schoch, Danail Stoyanov, Russell Taylor, Martin Wagner, S. Swaroop Vedula, Pierre Jannin, Stefanie Speidel. Surgical data science: A consensus perspective, arXiv:1806.03184 2018 ↩

3. Kevin Cleary, Kinsella Audrey, Seong K. Mun. OR 2020 workshop report: Operating room of the future. International Congress Series, 1281: 832-838, Elsevier, 2005. ↩

4. Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou, Pietro Mascagni, Hirenkumar Nakawala, Adrian Park, Carla Pugh, Danail Stoyanov, Swaroop S. Vedula, Beat Peter Müller, Kevin Cleary, Gabor Fichtinger, Germain Forestier, Bernard Gibaud, Teodor Grantcharov, Makoto Hashizume, Hannes Kenngott, Ron Kikinis, Lars Mündermann, Nassir Navab, Sinan Onogur, Raphael Sznitman, Russell Taylor, Minu Dietlinde Tizabi, Martin Wagner, Gregory D. Hager, Thomas Neumuth, Nicolas Padoy, Pierre Jannin, Stefanie Speidel. Surgical data science – from concepts toward clinical translation, Medical Image Analysis 76 (2022). DOI 10.1016/j.media.2021.102306 ↩