Register Now for the Upcoming ESR/EIBIR Webinar on Advancements in Cancer Imaging!

Registration is now open! Follow this link to register.
Obtain 1,5 CME credits for attending the webinar!

The European Society of Radiology (ESR) and the European Institute for Biomedical Imaging Research (EIBIR) are pleased to announce an enlightening webinar titled “ESR/EIBIR Webinar Series: Advancements in Cancer Imaging: Data Repositories for AI Evolution in Cancer Diagnosis and Precision Medicine.” This event is set to take place on 12 December 2024 and will explore the transformative role of Artificial Intelligence (AI) in cancer diagnosis and precision medicine, featuring insights from the projects CHAIMELEON, EuCanImage, and EUCAIM.

General Description and Objectives

As healthcare technology continues to evolve, it is crucial for radiologists, medical IT specialists, and oncologists to stay updated on the latest advancements. This webinar aims to empower participants with the knowledge necessary to leverage AI in their clinical practice effectively.

Key Topics Covered:

Latest Technological Developments: Discover how to incorporate cutting-edge AI advancements into daily practice.
Adaptation of AI Tools: Learn how to effectively use AI tools to support decision-making processes in oncology.
Data Anonymisation and Protection: Understand the vital importance of safeguarding data within large image repositories.
Innovation in Diagnostic Tools: Explore how pan-European image repositories, specifically those developed under the projects CHAIMELEON, EuCanImage, and EUCAIM, contribute to the development of new tools for improved and earlier cancer diagnosis.

Learning Outcomes

By the end of this webinar, participants will be able to:Comprehend the evolving landscape of AI support tools in healthcare. Navigate and utilise the image repositories of CHAIMELEON, EuCanImage, and EUCAIM. Keep abreast of further developments in pan-European image repositories and leverage achievements from CHAIMELEON and EuCanImage via EUCAIM. Engage in data annotation efforts to support the continued advancement of AI in medicine.

Who Should Attend?

This webinar is highly recommended for radiologists, oncologists, and medical IT professionals who are keen to enhance their skills and adapt to the rapidly changing landscape of AI in healthcare.

Don’t Miss Out – Register Today!

Secure your place in this invaluable session and be part of the conversation shaping the future of cancer imaging and diagnosis. Register here.

Event Details:

Date: 12 December 2024, 10:00 – 11:30 (CET)
Location: Online (a link will be provided upon registration)

For additional information and updates, please visit the European Society of Radiology website or the EIBIR website.