Artificial intelligence is revolutionizing intensive care medicine in Germany!

Artificial intelligence is revolutionizing intensive care medicine in Germany!

On August 8, 2025, a new era in research on artificial intelligence in biomedicine will begin at the Friedrich-Alexander University Erlangen-Nuremberg (FAU). With Prof. Dr. Jose Bernal Moyano, a renowned expert, takes on the position of Junior Professor of Artificial Intelligence in Biomedical Engineering. FAU is one of the 15 largest and most research-intensive universities in Germany and offers over 270 degree programs. With more than 39,000 students and over 6,000 employees, the university is a center for academic excellence.

Prof. Moyano brings an impressive academic background. After a B.Sc. in computer science from the Universidad del Valle in Colombia, he worked for three and a half years at the German Center for Neurodegenerative Diseases (DZNE) in Magdeburg. His research focuses on characterizing changes and dysfunction of the cerebral microvasculature and their clinical consequences. In his projects he combines computer science, computer vision and artificial intelligence to make advances in medical image analysis. He holds two doctorates, one from the Universitat de Girona (Spain) and another from the University of Edinburgh (United Kingdom).

Technological innovations in medicine

Artificial intelligence (AI) is playing an increasingly central role in medicine, especially in intensive care medicine. For example, it is used to detect neurodegenerative diseases such as Parkinson's at an early stage and to optimize decision-making in healthcare. In this context, there will also be an event on March 18, 2025 at the IT:U Interdisciplinary Transformation University Austria. This will be part of the "First Lectures" series and includes contributions from experts such as Nina Hubig and Jie Mei, who will talk about the importance of explainable AI and its application in brain research ots.at reported.

The use of AI in intensive care allows for the rapid monitoring of seriously ill patients. Various learning methods are used here, including supervised, unsupervised and reinforcement learning. These technologies help enable rapid responses to changes in patients, which is crucial for the treatment of neurological diseases. AI models are already able to predict outcome, intracranial pressure and consciousness, which represents a significant advance. ncbi.nlm.nih.gov highlights the need for interdisciplinary collaborations in generating large datasets to validate these advances.

Personal commitment and interests

Apart from his professional qualifications, Prof. Moyano is also a person with diverse interests. He enjoys attending theater performances in Erlangen and Nuremberg, despite the existing language barriers. He humorously describes his iPad as the most useful tool for explaining complex course content through drawings. His childhood dream of being a professor at a university is now coming true.

In his free time, Prof. Moyano enjoys making guacamole and arepas. His goal is to be able to watch anime in Japanese without subtitles once he has a better command of the German language. In his biography, he names strong women, especially his mother, as role models who have always supported him and his brother.

The continuous development of AI in medicine represents a great opportunity to increase efficiency and safety in patient care. FAU, with its large number of innovative researchers, offers an ideal platform to further advance these technologies and research how AI can revolutionize medical practice.