Projects

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…

Developments in recent years, such as low-cost hardware for enormous computing power and machine learning techniques, have given AI new impetus in medicine as well, and in many medical application…

In the XAINES project, the aim is not only to ensure explainability, but also to provide explanations (narratives). The central question is whether AI can explain in one sentence why it acted the way…

The goal of the KI-Para-Mi project is to develop an intelligent personnel planning system for flexible shift scheduling in nursing, which above all takes into account the interests of the employees.…

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…

In Augmented Reality the real world is extended by additional information. Already common areas of application are navigation or the transmission of sports events such as football or ski jumping.…

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…

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.…

In Kognit we enter the mixed reality realm for helping dementia patients. Dementia is a general term for a decline in mental ability severe enough to interfere with daily life. Memory loss is an…