Now, for the eighth year, Berlin Partner for Business and Technology, LLC is putting on BarCamp Health-IT, bringing together creative minds from across the health and digital fields to discuss innovative approaches in health IT. This year’s topic looks at artificial intelligence. As part of the event, we would like to discuss innovative ideas with you, exchange ideas interdisciplinarily, foster cooperation, and promote AI in Berlin.
What is a BarCamp?
BarCamp is an open-forum style event and the shape of the event will depend on the contributions of the participants. There are no fixed topics, the program content is developed on-site and is proposed by the participants themselves as contributions to the interactive sessions (discussion round, pitch or workshop); whether prepared or spontaneous. Together we will then vote on the contributions presented and those with the greatest level of interest will put on the agenda. This ensures that the topics are relevant and exciting for those actually present: a marketplace of ideas is created.
As always, participation is equal among all attendees and interactive.
The venue could not be better suited to the theme of AI and the format of the event: this year we are in the newly opened premises of the Berlin Institute for Medical Systems Biology (BIMSB) of the Max Delbrück Center in Berlin Mitte. The BIMSB stands for state-of-the-art research and innovation, among others. on topics such as the analysis of genome architecture or applications of artificial intelligence for the life sciences.
Caresyntax’s Dr. Enes Hosgor will be presenting at the event.
Dr. Enes Hosgor with caresyntax GmbH will discuss their AI co-R&D effort in collaboration with a large Swiss healthcare network aiming to automate and standardize surgical skills assessment using deep learning, with the potential to enhance surgical skills and enable a higher quality of care via real-time clinical decision support. Dr. Hosgor and his team are working with a largest-of-its-kind data set with over 1 million frames of rich, surgeon-annotated, laparoscopic cholecystectomy video coupled of clinical outcomes and patient meta data from electronic medical records.