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PhD in Medical Sciences
Radboud University Medical Center
MSc in Biomedical Image Analysis
Eindhoven University of Technology
BSc in Biomedical Engineering
Eindhoven University of Technology
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AI in medical imaging is often pitched as either an aid or a threat to the physician. But what is the impact for the patient? Can they benefit from the introduction of AI and if so, in which way? In this talk I will sketch the impact of AI on prostate cancer diagnosis from the perspective of the patient.
Artificial Intelligence is starting a more important role in diagnostics, also in diagnostics of prostate cancer. In this talk I will sketch the current applications of AI and give directions for future use, also with respect to clinical research.
Clinical pathology is at the forefront of a digital revolution. In addition to the digital workflow, pathologists will also come into contact with machine learning algorithms aimed at improving their diagnostic accuracy and efficiency. In this presentation I highlight some applications which will be among the first to see use in clinical practice.
This presentations aims to provide an introduction to the basics and fundamental concepts of deep learning in medical imaging.
Should doctors fear for their jobs due to the rise of AI? In this presentation I explained which aspects of their job will change and why they should not fear, but welcome the introduction of AI in healthcare.