MICCAI2022: IHU HIGHLIGHTS

MICCAI2022: IHU HIGHLIGHTS

Oct 19, 2022 | Education, Event, News

MICCAI AE-CAI 2022 – Outstanding paper award to IHU authors

Congratulations to IHU’s APEUS team. The authors of the paper* entitled ‘Automatic pancreas anatomical part detection in endoscopic ultrasound videos’ won the OUTSTANDING PAPER AWARD, which was collected by Adrien Meyer, AI Research engineer at IHU, at the MICCAI AE-CAI 2022 workshop held in Singapore on 18 September.  ​​​​​​​

The joint 16th AE-CAI, 9th CARE and 5th OR 2.0 workshop brought together researchers, clinicians, and medical companies that are working on advancing the field of Medical Imaging and Augmented Reality, Augmented Environments for Computer Assisted Interventions (AE-CAI), Computer Assisted and Robotic Endoscopy (CARE) and Context-Aware Operating Theaters (OR 2.0).

*The paper was co-authored by Antoine Fleurentin, Jean-Paul Mazellier, Adrien Meyer, Julieta Montanelli, Lee Swanstrom, Benoit Gallix, Leonardo Sosa Valencia, and Nicolas Padoy. It was presented at the workshop by Adrien Meyer.

Second edition of CLINICCAI during MICCAI 2022 conference

The second edition of CLINICCAI (Clinical translation of Medical Image Computing and Computer Assisted Intervention) was held in Singapore, after a successful first edition organized during MICCAI-2021 in Strasbourg. CLINICCAI-2022 took place at the Resorts World Convention Centre as part of the core program of the MICCAI 2022 conference, with an active participation of the IHU Strasbourg’s team as part of the Organizing Committee. The event was conceived to provide a platform for healthcare practitioners working on translational research in the areas of MICCAI to present their work and to enable and promote networking among biomedical scientists and clinicians.

A total of 20 oral presentations were selected among 31 submissions (from 13 countries) according to their relevance, novelty, and their potential for clinical translation. More than 60 healthcare professionals registered and traveled from 14 countries to present and participate on-site, with over 550 total attendees throughout the conference.

An international jury presided by Prof. Jason Chan (Chinese University of Hong Kong), and including experts from UK (Heike Grabsch), Switzerland (Inti Zlobec), and France (Juan Verde), selected the best three presentations and delivered the IHU best presentation award to: Jorge Corral Acero, Pieter De Baker, and Fiona Kolbinger. Congratulations to them!

We are anxiously awaiting the confirmation of the third edition of CLINICCAI, expected to take place next year in October, in Vancouver, Canada, during the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-2023) with the support of the IHU Strasbourg and its team!

The 1st Surgical Data Science (SDS) Summer School – 18-22 July, 2022

The 1st Surgical Data Science (SDS) Summer School – 18-22 July, 2022

Mar 24, 2022 | Agenda, Education, Event, Lecture, News

We are very happy to announce the 1st Surgical Data Science (SDS) Summer School to be held in Strasbourg, France, from 18th – 22nd July 2022.

Logo Edu4SDS, Surgical Data Science - Summer School

Recognizing the surge in Surgical Data Science research and the need for effective clinical translation, the SDS summer school aims to promote research and innovation of clinical value by educating clinicians and computer scientists on respective contexts, needs, tools and methodologies.

This first school organized by the Institute of Image-Guided Surgery, IHU-Strasbourg, and the University of Strasbourg will be focusing on endoscopic video analysis. Leading clinical and computers science experts from top institutions will cover subjects related to the clinical use of endoscopy and endoscopic video analysis, spanning from endoscopic instruments and data annotations all the way to advanced deep learning algorithms and the design of clinical translation studies.

Short online lectures on fundamentals of endoscopy and computer science will be freely accessible starting from 15th of March 2022 at: https://edu4sds.eve-evolving-education.eu/. Upon completing these fundamentals, prospective participants can apply to the onsite summer school consisting of a series of lectures, hands-on labs, and group projects. Twenty (20) selected computer scientists and clinicians will have the opportunity join us at Institute of Image-Guided Surgery, IHU-Strasbourg, from 18th – 22nd July 2022 to work in a truly multidisciplinary environment with unique clinical and computer science resources to come up with novel ideas and data science solutions of clinical value.

We invite early-career computer science and clinical researchers who are interested in diving into the exciting world of Surgical Data Science to visit www.edu4sds.org, review the program and learn more about the registration.

Applications close on 25th April 2022. Places are limited so early application is advised.
Best wishes,

The Surgical Data Science Summer School organizing committee Pietro Mascagni, Alexandros Karargyris, Vinkle Srivastav, Silvana Perretta, Nicolas Padoy.

More information: www.edu4sds.org
Registration: edu4sds.eve-evolving-education.eu

CLINICCAI & AWARD IHU

CLINICCAI & AWARD IHU

Oct 1, 2021 | Agenda, Education, Event, News

IHU Strasbourg and ICube have successfully organized CLINICCAI, the first clinical day at the international MICCAI conference on Medical Image Computing and Computer Assisted Interventions on September 29. CLINICCAI and MICCAI, initially planned to be hosted in Strasbourg, took place virtually this year. CLINICCAI featured 23 oral presentations by clinicians, who showed and discussed their research on the more translational and clinical aspects of medical image computing, computer-assisted interventions, and medical robotics. The event was a great success!

screenshot_team_CLINICCAI

An interview of Prof. Nicolas Padoy about CLINICCAI (p. 22):
https://www.rsipvision.com/MICCAI2021-Wednesday/

IHU Strasbourg has sponsored the best presentation awards, attributed to:

Fiona Kolbinger, for the work:
Artificial Intelligence for context-aware surgical guidance during robot-assisted rectal resection – an exploratory feasibility study
Kolbinger, Fiona; Stefan Leger; Matthias Carstens; Franziska M. Rinner; Stefanie Krell; Alexander Chernykh; Sebastian Bodenstedt; Johannes Fritzmann; Marius Distler; Jürgen Weitz; Stefanie Speidel

Cesare Hassan, for the work:
Optical diagnosis assisted by real-time Artificial Intelligence for <5 mm rectosigmoid polyps (Artificial intelligence BLI Characterization; ABC study) Rondonotti Emanuele, Hassan Cesare, Tamanini Giacomo, Antonelli Giulio et al.

These awards include a 2-days research visit at IHU Strasbourg, free of charge -congratulations to the awardees!

cliniccai

Artificial Intelligence for Safer Surgery

Artificial Intelligence for Safer Surgery

Sep 27, 2021 | Education, News, Procedures

Clinicians and computer scientists at CAMMA, a joint research group between IHU Strasbourg and ICube/University of Strasbourg, have teamed up to improve safety in laparoscopic cholecystectomy using artificial intelligence (AI).

The Strasbourg-based team first proposed the 5-second rule, a simple yet effective cognitive aid to promote the implementation of guidelines for safe cholecystectomy. In an article published in the Journal of the American College of Surgeons, they demonstrate that a 5-second-long intraoperative time out to recall best practices induces a three-fold increase in the achievement of the Critical View of Safety, an essential step to prevent bile duct injuries.

JACS

In a commentary entitled “Time to Stop and Pause”, the lead author of the worldwide guidelines on safe cholecystectomy Dr L Michael Brunt writes:

“Of all the quality improvement measures implemented in surgery and medicine over the last many years, the simple act of a momentary pause to stop, look, and reflect before proceeding with an irreversible step in an operation, may arguably have one of the highest benefit-to-risk ratios, especially given the minimal time to do it and the considerable potential upside for enhancing patient safety” 

Concurrently, the same team has developed and published on the Annals of Surgery DeepCVS, the first AI model capable of recognizing important anatomical structures and automatically assessing the achievement of the aforementioned safety view to provide surgeons with intraoperative decision support.

To try DeepCVS, please visit: https://deepcvs.ihu-strasbourg.eu

Finally, in a second article in the Annals of Surgery, the team presents EndoDigest, a computer vision platform providing short videos selectively documenting critical steps of procedures to promote transparency, research, and education in surgery.

The multidisciplinary team led by Prof. Nicolas Padoy is now starting collaborations with other surgical centers and industrial partners like NVIDIA to validate and optimize these prototypes, essential steps to translate these and other AI algorithms to operating rooms and finally generate value for patients, surgeons, and healthcare systems.

CAMMA_NVIDIA_OR_BD

To learn more or contact the team, please visit:
http://camma.u-strasbg.fr

ENSIST: A new collaboration between InSimo and IHU Strasbourg, supported by the Region Grand Est

ENSIST: A new collaboration between InSimo and IHU Strasbourg, supported by the Region Grand Est

Jun 28, 2021 | Agenda, Call for projects, Economy, Education, Event, News

In partnership with the IHU Strasbourg, InSimo has embarked on the development of simulation modules dedicated to learning new surgical techniques using endoscopy approach with the launching of the ENSIST project supported by the Grand Est Region. The simulation modules will be carried through with the IHU Strasbourg, allowing ENSIST to lay a solid foundation for collaboration with a view to building a close and long-lasting partnership. Through this project, InSimo will benefit from the input of medical experts from the institute who will support its development from defining training needs to the implementation of training, and will validate the pedagogical value of the simulator.

The development of the two simulation modules will be supervised by Prof. Lee Swanström, Director of Innovation (IHU Strasbourg) and Prof. Silvana Perretta, Director of Education (IHU Strasbourg). Therefore, through this partnership, InSimo will be able to count on the support of the institute’s resources for the management of preclinical and clinical research with a study that will be conducted to validate patient-specific simulation of stomach deformation.

ENSIST

Photo credit: InSimo

In 2020, the ENSIST project won the R&D&I scheme set up to support collaborative R&D and innovation projects.
This project has the support of the Grand Est Region, BioValleyFrance and BPI France providing significant support for a project estimated at over a million euros.

For more information, the press release in English

InSimo