Brain-computer interfaces, or BCIs for short, offer a promising possibility for human-machine interaction based on brain signals, especially as an interface for the operation of assistance systems for
Adaptive and personalized AI systems in healthcare and well-being rely on information about users and usage situations to provide the best possible support. But, in situations of illness, pain, or whe
Adra-e - Supporting the AI, Data and Robotics Community in the Development of a Sustainable European Ecosystem Adra-e is a Coordination and Support Action (CSA) funded by the European Commission under
The goal of Ophthalmo-AI is to develop better diagnostic and therapeutic decision support in ophthalmology through effective collaboration of machine and human expertise (Interactive Machine Learning
The goal is to develop a risk assessment module for a smart home platform with a focus on "smart ageing". A collection of sensors is installed in the volunteers' flats and their base health status ass
In Deutschland werden jährlich mehr als 9.000 Hornhauttransplantationen durchgeführt. Trotz strenger Qualitätskriterien sind bei etwa 4-5 % der Transplantate postoperativ warzenförmige Veränderungen n
The EIT digital project SkinCare is developing a mobile app for patients in the context of skin cancer diagnosis and treatment. The combination of patient data and image data enables decision support
The aim of the project Interakt (Interactive Cognitive Assessment Tool) is to improve the diagnostic process of dementia and other forms of cognitive impairment by digitizing standardized cognitive as
Clinical Data Intelligence develops intelligent smart data solutions based on big data analysis in the medical application context. A special focus is put on (pseudo) anonymisation and data security.