AI in Medical Imaging

Conference coming in 2022

What you’ll learn:

Are you thinking about adopting AI in your hospital, screening programme, or radiology team? This series of events will help you understand the current use cases for medical imaging AI, evaluate commercial vendors, and implement the solutions that fit your needs and directly benefit your patients. Recognised speakers will share their expertise with AI-based tools in clinical practice and answer your questions.

CME accreditation is offered, as well as a certificate of attendance

Why should you attend these webinars?

  • Distinguished and Rewarded International Faculty
  • Close Interaction with International Attendees and Faculty
  • Refreshing Content providing New Perspectives
  • State-of-the-art Lectures
  • Hot Topic Tutorial Lectures
  • Belgian CME Credits are being sought by the Belgian Council for Continuing Medical Education.

Scientific Faculty

Axel Graewingholt, MD

Radiologie am Theater, Paderborn
(Paderborn, DE)

Bart L. Claikens, MD, MBA

President Update in Medical Imaging
(Ostend, BE)

Erik R. Ranschaert, MD, PhD

Key Opinion Leader in A.I. for Radiology, Digital Doctor at ETZ Hospital, Visiting Professor of Radiology at Ghent University, EuSoMII Past-President.
(Ghent, BE)

Jacob Visser, MD

Radiologist / CMIO Assistant professor Value-based imaging
(Rotterdam, NL)

Laurens Topff, MD

Radiologist at Netherlands Cancer Institute
(Amsterdam, NL)

Martin Willemink, MD, PhD

Instructor at Stanford Radiology, Cofounder at Segmed (YC W20), Jr Deputy Editor at European Radiology
(Stanford, US)

Tim Leiner , MD, PhD

President at ISMRM
(Utrecht, NL)

Victor Sonck, ML Engineer

Machine Learning Engineer at ML6
(Ghent, BE)

Topics

  • How disruptive is AI for radiology and medicine?
  • AI: how to move from bench to bedside
  • Implementation and evaluation of commercial AI application
  • The anatomy of an AI Imaging project. What to know, and what to look out for
  • Added value of AI for the radiologist
  • AI in oncologic imaging
  • Medical image data curation: from current standards to federated learning
  • Bringing machine learning to the clinic. Opportunities and challenges
  • How to integrate AI into the clinical workflow
  • Value in imaging AI
  • Innovation in healthcare
Human sketch AI