Applied computer scientists at the University of Bamberg are currently developing an AI medical companion that will help doctors in recognising and diagnosing types of cancer and pain.
Three Bamberg researchers discuss how AI research can benefit from interdisciplinary collaboration. Even the speech recognition software Siri gets a word in.
Affective reactions—or gut feelings—play a key role in consumer decision-making. Researchers at the University of Passau are seeking to understand this process better and help consumers make better decisions.
At the HM, Professor Pohlmann and his team are using innovative technologies and approaches to bring back memories to dementia suffers and provide support to their families and caregivers.
Research has established the privacy calculus approach to account for the moment of decision. This video explains what it is all about.
The TyMin research project, a collaborative venture between the Leibniz Institute for Educational Trajectories (LIfBi) and Otto Friedrich University Bamberg, will kick off in early April 2026. Led by Prof. Dr. Jana Costa (LIfBi) and Dr. Caroline Rau (University of Bamberg), the project, which is funded by the German Research Foundation (DFG), will spend the next three years investigating how profound pedagogical convictions can be systematically measured. In this way, the project will contribute to the long-term development of teacher training.
Number 1 in Germany, number 1 in Europe and now also at the top worldwide. This outstanding result was achieved by the Virtual Reality research field at the University of Würzburg in the latest CSRanking.
A new study reveals the key features we use to recognize and categorize everyday behavior
How strong are in-group and out-group biases? A recent study by the University Hospital of Würzburg highlights the limitations of external rewards in reducing prejudice: financial incentives may reduce avoidance behaviour towards out-groups, but they do not change opinions.
How physicians feel about artificial intelligence in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich (TUM) has investigated this for the first time in a large study spanning six continents. The central finding: the worse people rate their own health, the more likely they are to reject the use of AI. The study is intended to help align future medical AI applications more closely with patients’ needs.
