Head of the Research Department Interactive Machine Learning
Prof. Dr.-Ing. Daniel Sonntag
- Organizational unit
Interactive Machine Learning
- Contact
Phone (Saarbrücken): +49 681 85775 5254
Daniel.Sonntag@dfki.de
https://www.dfki.de/~sonntag
- Address (Saarbrücken)
Gebäude D3 1
Stuhlsatzenhausweg 3
D-66123 Saarbrücken - Address (Oldenburg)
Technologie- und Gründerzentrum Oldenburg
Marie-Curie-Str. 1
D-26129 Oldenburg
Publications
Profile
Ophthalmo-AI
Intelligent, Cooperative Medical Decision Support in Ophthalmology
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…
pAItient
Protected Artificial Intelligence Innovation Environment for Patient Oriented Digital Health Solutions for developing, testing and evidence based evaluation of clinical value.
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…
XAINES
Explaining AI with Narratives
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…
KI-Para-Mi
KI-getriebener Paradigmenwechsel durch Mitarbeiter-zentrische Schicht- und Dienstplanung zur Verringerung des Pflegenotstands
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.…
SkinCare (EIT)
SkinCare
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…
