Bern AI in RadioTherapy Symposium

Bern AI in RadioTherapy, at the University of Bern, on 14 of March 2025

When: 14 March 2025, 9.00-17.00h
Where: Horsaal S 003, UniS, University of Bern, Schanzeneckstrasse 1

Overview

Bern AI in Radiotherapy (BART) Symposium is a one-day meeting on the 14th of March 2025, aiming to bring researchers together in the radiation oncology, medical physics and the AI engineering community. BART aims to foster a collaborative environment that bridges the gap between technology and healthcare. We believe that artificial intelligence holds immense potential in revolutionizing radiotherapy, making treatments more precise, personalized, and efficient. By bringing together researchers, clinicians, and students, we aim to facilitate the exchange of innovative ideas, latest research findings, and practical challenges faced in the integration of AI in radiotherapy. Our hope and objective is to attempt to update ourselves in the current state of the art and discuss upcoming trends breakthroughs in this field, so we foster better interaction with each other.

This is an in-person event, with an emphasis on accessibility to early-career researchers and folks who are new to this and interested to get involved in this field. To facilitate this, we have a series of invited talks from all three major stakeholders: industry, academia, and clinics, to give an overview of recent advances, challenges, and efforts for sharing insights.

Registration

We have reached capacity (100 participants) and cannot take more registrations at this moment. We thank you for your participation and interest!

Student presentations, flash talks and awards

This symposium aims to provide a platform for students and early career researchers to present their work on advancements and challenges in the application of artificial intelligence (AI) in radiotherapy. The program includes three presentations (of 10 minutes each) and eight flash talks (of 3 minutes each) on topics ranging from AI-driven treatment planning, automated segmentation, predictive modeling, image-guided radiotherapy, and patient-specific quality assurance. We offer a "best poster award", and will share more details about this during the symposium.

Contact the Organizers

Please reach out to Amith, Robert, Dr. Sarah Brueningk or Dr. Mauricio Reyes.

Program

We have an action packed day with technical, clinical, and industry speakers who will share their perspectives on what AI can do in RadioTherapy. We will also have two young researchers share their work and showcase what could be coming next! Finally, we will have everyone sit together in a panel discussion.

Confirmed program
Time Subject Speaker
09.00h Opening and Registration Amith Kamath and Robert Poel
09.10h Introduction and welcome Amith Kamath
09.20h Artificial Intelligence in Radiation Oncology- The physician's perspective Jan Peeken
10.00h Industry Talk: Multimodal Foundation Models in Oncology: From Research to Clinical Impact by Vlad Crisan and Robert Berke, Kaiko AI KAIKO AI
10.30h Coffee Break
11.00h Beyond human limits ? AI as a partner in medical physics and radiation oncology Stephanie Tanadini Lang
11.40h Young Researcher Talks Robert Poel
12.20h Lunch Break
13.20h An ambitious vision for the future of AI in Radiotherapy Mark Gooding
14.00h Panel Discussion Jan Peeken, Mark Gooding, Stephanie Tanadini-Lang, KAIKO AI, Sarah Brueningk and Mauricio Reyes
14.30h Flash Talks Sarah Brueningk
15.00h - 16.30h Networking, Poster Presentations and Apero Sarah Brueningk and Mauricio Reyes

Location

The symposium is hosted at the University of Bern, Switzerland. The entire event will be at the Horsaal (S 003) at the UniS building, walking distance from the Hauptbahnhof. See below for a maps link to get to this building.