Projects

Das Projekt "No-IDLE meets ChatGPT" zielt darauf ab, die Mensch-Maschine-Interaktion bei der Aktualisierung von Deep-Learning-Modellen (DL) zu verbessern, indem die Mensch-Computer-Interaktion (HCI) m

In recent years, machines have surpassed humans in the performance of specific and narrow tasks such as some aspects of image recognition or decision making along clinical pathways in the medical doma

In the Medinym project, we are pursuing the goal of completely anonymising the speaker identity of a speaker, both on voice and on statement/semantic level, without losing emotional or diagnostic info

Health care is undergoing a transformation from a paternalistic to a patient-centred approach. Medical decision-making is therefore a collaborative process between patients, their relatives and doctor

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

Comprehensive and accurate documentation is essential for needs-based care. In many places, the systems and processes used today for care documentation are time-consuming and prone to errors. Caregive

The aim of the project is to research an AI model (Smart Dialogue Engine, SDE) that better adapts the dialogue behavior (course, choice of words, prosody) of telephone-based language assistants to the

The project objective is to take advantage of the advances in Big Data, Artificial Intelligence and Machine Learning to support cancer patients’ quality of life and health status. To this end, it will

AI is on everyone’s lips. Applications of AI are becoming increasingly relevant in the field of clinical decision-making. While many of the conceivable use cases of clinical AI still lay in the future

CoMem is an ecosystem based on evolving knowledge graphs integrating information silos and legacy systems as well as (personal) information sources of knowledge workers and their teams. The ecosystem