Aquatic research often relies on image and video data to gain knowledge about our oceans, lakes and rivers. Current challenges in this research area include analyzing human-caused littering or oil spi
MOMENTUM is a research project dedicated to TRUSTED-AI, which aims to advance the development and application of artificial intelligence by integrating robustness and explainability. The aim of the pr
Interdisciplinary tumour conferences with doctors from different disciplines are the key to the best possible diagnosis and therapy of cancer. The information about the patient and the tumour that is
Ensuring industrial quality through new research The ML-SYNTHOM project is developing an AI-based test procedure for quality assurance for new types of components in industrial production. The innovat
Besonders in der Covid-19-Pandemie wurde deutlich, dass die Nachsorge von Patienten mit chronischer Herzinsuffizienz, etwa durch das Post-Covid Syndrom, verbessert werden muss. Im Sinne der Prävention
KITTU hat die Erforschung und Entwicklung eines KI-Assistenzsystem zum Ziel, welches die Therapie von Tumorpatienten in der Urologie ab der Diagnose begleitet, indem es Ärzten und Patienten alle in ei
Ensuring optimal and continuous care for patients is a major challenge in the German healthcare system. Discharge management plays a key role in this process because it is responsible for continuity o
According to the World Bank and the UN, some US$1tn is paid in bribes every year. Corrupt financial transactions divert funds from legitimate public services, as well as distort free markets—potential
In emergency rooms, speed is of the essence. According to the regulations on emergency care, emergency staff must assess within ten minutes how urgently patients need to be treated. Especially in phas
The goal of the ECXL project is to develop a design and verification platform for RISC-V based systems. The verification platform will allow models on the abstract electronic system level as well as o