EIBIR - Artificial intelligence (AI) for health imaging: pioneering cancer image repositories for diagnosis and analysis

Date 29/02/2024 - 29/02/2024

Location Vienna, and online

EIBIR is again hosting a dedicated session on the AI for Health Imaging projects at ECR 2024. The session is chaired by Luis Marti-Bonmati and Involves the CHAIMELEON, EuCanImage, INCISIVE, and ProCancer-I projects as well as outlook in the integration of their project results into EUCAIM. Please find the program below as well as the information to access the session onsite or also freely online. Moreover, EIBIR is also hosting a dedicated EUCAIM session.

Program

Chairperson’s introduction
Luis Marti-Bonmati, Valencia / Spain

CHAIMELEON: accelerating the lab to market transition of AI tools for cancer management
Alejandro Vergara, Valencia / Spain

EuCanImage: towards a European cancer imaging platform for enhanced AI in oncology
Maciej Bobowicz, Gdansk / Poland

INCISIVE: a federated data infrastructure enabling AI-supported cancer diagnosis and prediction
Gianna Tsakou, Marousi / Greece

ProCancer-I: AI models of prostate cancer diagnosis
Nikolaos Papanikolaou, Lisbon / Portugal

EUCAIM: integrating the AI for health imaging results into the European Cancer Imaging Initiative
Luis Marti-Bonmati, Valencia / Spain

The session is also available open access. To join online, please follow the instructions below:

1. Visit the session page on ESR Connect and select the session you would like to attend.

2. Click on ‘Login’ in the upper right corner and enter your ESR MyUserArea credentials or create a new ESR account for free (after you have created your account please visit the session page once again).

3. The session is now saved in your user menu under ‘My Courses’ which can be accessed via your user icon in the upper right corner.

4. When the session starts, log-into your account and visit the session page, where the livestream will start automatically.

The EIBIR session on “EUCAIM at the forefront: innovating radiology with Europe’s cancer image infrastructure for artificial intelligence (AI)” takes place on March 2, 16:00-17:30 CET in room M1. More information is available on this link.