The University course will give the students a deeper basic knowledge based on current insights of the most important topics/aspects of Artificial Intelligence and Machine Learning as well as basic knowledge of medicine and biomedical research. The course is intended to serve as a basis for Artificial Intelligence for a more in-depth treatment of various theories and technologies to build an AI system in medicine and biomedical research and to implement new findings in practice.
Graduates are enabled to work at the interfaces between medicine and AI-technology in companies or research centres and develop new intelligent applications for medicine and/or biomedical research. Graduates of the University course Human-Centered Artificial Intelligence (AI) and Machine Learning (ML) in Health (Human-Centerd AI/ML in Health) can:
The use of technology for Artificial Intelligence (AI) in our society is widespread, mainly due to successes in Machine Learning (ML) (e.g. driverless cars, personal assistants, monitoring systems, robot manufacturing, machine translation, cyber security, web search, etc.). Such applications use technologies of Artificial Intelligence, to interpret information of a variety of sources and enable an intelligent and targeted behaviour. Thereby great importance is also attached to looking at new technologies by a “human in control” approach and transmit values such as an ethical and responsible use of new technologies and data security and data security issues. Also, in health care and research, AI and ML technologies have reached the working environment of treating physicians and researchers. That way it is hoped that in many specialist fields of medicine and research, with a focused use of technical possibilities, new and better treatment plans for individual patients can be adapted. Especially in this area, a “human in control” approach is important – new technologies are to support physicians and not to replace them. The final decision still lies with the medical expert. It is therefore even more important, that the expert has all the necessary competences in order to understand the data and its decision making and to assess the information correctly. For the development of these new technologies it is of similar importance, to have a better understanding of the data and findings of algorithms so that they can be construed better by technicians. In future the integration of AI and ML technologies in medicine, lies in a human-centred AI approach and interactive Machine Learning (“human-in-control”) with knowledge of ethical approaches in this area, data protection and data security. For graduates of the university course Human-Centered Artificial Intelligence (AI) and Machine Learning (ML) in Health (Human-Centerd AI/ML in Health), the following professional fields are of relevance:
The University course Human-Centered Artificial Intelligence (AI) and Machine Learning (ML) in Health (Human-Centerd AI/ML in Health) addresses the following:
The course is held in English. Therefore, a good understanding of English is required.
The university course:
After the successful completion of all the credits provided for in the curriculum the graduate receives a diploma from the Medical University of Graz.
Registration for the university course starting in winter semester 2021/22 will be possible until 30.06.2021.
Office Vice Rector for Research and International Affairs
International Biobanking and Education
Duration: 2 Semester, alongside full time work
Degree: Diploma of Medical University of Graz
Attendance fee: € 5.950,--
Start: Winter semester 2021/22