Prof. Dr. med. Kolja Gelse › AI.FAU.DIGITAL

3D Druck von Gelenkoberflächen für Arthrose Patienten
Projekt: mojo 3D
Machine learning für Telemonitoring von Ostheoarthrose

Profile im Web:

Could artificial intelligence assist decision-making in clinical practice? 12. November 2019

Artificial intelligence (AI) is becoming more common in clinical practice. Increased computing power, greater volumes of data generated, and progress in machine learning promise new possibilities in clinical research and patient care. However these developments also raise certain ethical and legal questions. How will the role of doctors and patients...

Using AI to make assistance systems more intelligent for real-life situations 12. November 2019

FAU doctoral candidate Annette Hagengruber has set herself the goal of designing solutions based on artificial intelligence to help people with restricted mobility in their everyday lives. The Gesellschaft für Informatik e.V. (German Informatics Society) has nominated her as an AI newcomer of the year in recognition of her achievements....

Medical imaging: same quality, less time 7. November 2019

Elisabeth Hoppe is completing a doctoral degree at FAU in the area of quantitative MR imaging in combination with deep learning and has developed a deep learning based reconstruction method for the quantitative imaging technique magnetic resonance fingerprinting. In recognition of her research, the scientist from the Pattern Recognition Lab...

‘Hightech Agenda Bavaria is a big deal’ 11. October 2019

FAU President Prof. Dr. Joachim Hornegger has welcomed the latest declaration by Minister President Dr. Markus Söder on behalf of the Bavarian government: ‘In today’s declaration on behalf of the government, Minister President Dr. Markus Söder has made it clear that artificial intelligence is to be the topic of the...