Daniel Sonntag is Invited Speaker at the EIT Digital (H2020)
MACHINE LEARNING IN HEALTHCARE – FROM LAB TO MARKET (BERLIN) Enhancing healthcare applications with Deep Learning predictive power from early detection to recovery
MACHINE LEARNING IN HEALTHCARE – FROM LAB TO MARKET (BERLIN) Enhancing healthcare applications with Deep Learning predictive power from early detection to recovery
Dr. Algorithmus: Wie künstliche Intelligenz Krebspatienten helfen kann How can AI help cancer patients
at the Oxford Robotics Institute about interactive machine learning in human-robot Interaction (HRI).
The architecture has been published in the AI for Medicine Journal (ELSEVIER) and can be downloaded for free here.
In Skincare, we develop a mobile application for patients and health professionals in the context of skin cancer diagnosis and treatment. Skincare Project
The chatbot Eike, which is based on our multimodal multisensor platform, was launched at handbookgermany.de ERICS
National AI strategy with additional input from the experts appointed by the Federal Ministry of Health. Also see AI in medicine and the German AI strategy.
800 scientists, clinicians, academics, young professionals, policy makers and representatives of the healthcare industry came together to discuss and shape the Future of Medicine. Watch the presentation in session 3, Artificial Intelligence in Medicine. See also iml.dfki.de.
Signal Processing Architectures, and Detection of Emotion and Cognition. Volume 2 EDITORS: Oviatt, Sharon; Schuller, Bjorn; Cohen, Philip R; Sonntag, Daniel; Potamianos, Gerasimos; Krueger, Antonio PUBLISHER: Order link at Morgan and Claypool /ACM entry. This is a THREE volume series that presents the definitive state of the art and future directions of Read more…