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Artificial Intelligence in Medicine for (Digital) Clinician Scientists (Part 1/2)

Artificial intelligence (AI) is a key technology in computer science. Its application and successes are finding their way into more and more disciplines and are no longer limited to computer science and mathematics. It is assumed that AI will fundamentally change medical research and medical care in the future. Programs based on artificial intelligence are already being used to analyze blood more quickly and reliably, to detect bone fractures earlier or to diagnose cancer unambiguously. While traditional methods of AI were still dependent on precise rules and algorithmic sequences from experts, newer methods learn to recognize patterns independently using examples and apply them to new data.

The aim of this workshop is to familiarize the participants with AI methods, in particular to jointly work out basic concepts of machine learning, to demonstrate various applications in medical research (from drug development to brain imaging in neurological diseases) and to critically assess them with regard to practical, legal and ethical aspects.

The Dr. med. AI learning program: ki-campus.org/courses/drmedki2020 and the Dr. med. AI podcast: drmedki.podigee.io are used for preparation and supplementary consolidation.

Prof. Dr. Kerstin Ritter, Junior Professor of Computational Neuroscience at the Charité - Universitätsmedizin Berlin, is responsible for the content of the course.

Due to the current situation, both seminars will take place online via GoToMeeting. You will receive the access data and the link for participation after registration.

Members of the (Digital) Clinician Scientist Program have the opportunity to receive credit points for their respective funding programm for participation in the course.