Artificial Intelligence in Medical Imaging
The main objectives of the Certificate of Advanced Studies (CAS) in Artificial Intelligence in Medical Imaging is to equip Medical Doctors (MDs) with the necessary skills to take a leading role in the AI-driven transformation of medicine. The course program was developed for medical professionals and provides them with the necessary knowledge and skills to translate medical problems to data science problems. By working on an AI project of their own, the participants will know the fundamental concepts of Artificial Intelligence and can thus judge the feasibility and adequacy of proposed AI solutions.
The program addresses MDs that are active in areas where image and video analysis are integral parts of their routine or that are interested in the application of artificial intelligence in medical imaging and diagnosis.
What to expect from this program?
- Be part of a unique program, designed for medical professionals
- You learn to boost medical diagnostics with AI and understand the AI black box
- You know how to deal with the disruptive AI technologies in clinical supply chain
- With our custom-designed study program and individualized support, you can expect large flexibility
- Your teachers and supervisors are highly trained experts in their clinical and academic fields
You become part of the medical future
Expertise of teachers and supervisors
The study program is embedded in sitem-insel, which, in collaboration with partners, provides participants access to a vast amount of hightech facilities and services.
Teachers and supervisors of this study porgram are clinicians and medical doctors with high expertise, researchers and scientists from universities and clinics.
The CAS study program consists of six modules covering basic and advanced aspects of AI in medical imaging, including an individual thesis project, where participants apply their theoretical knowledge.
|Public Symposium||Prof. Dr. Jürgen Burger|
|M1 - Artificial Intelligence Project||Dr. Richard McKinley, Dr. Raphael Meier||4|
|M2 - Statistics and Programming||Dr. Pascale Anderle, Dr. Richard McKinley, Dr. Raphael Meier||2|
|M3 - Fundamentals in AI||Dr. Raphael Meier||2|
|M4 - Applied AI in Medical Imaging||Dr. Richard McKinley, Prof. Dr. Hendrik von Tengg-Kobligk, Prof. Dr.-Ing. Kuangyu Shi||3|
|M5 - Applications of AI||Prof. Dr. med. Roland Wiest, Prof. Dr. Mauricio Reyes||2|
|M6 - Legal and Ethical Challenges||Prof. Dr. Jürgen Burger||2|
All study programs are conceptualized as extra-occupational programs that can be reconciled with the usual professional work. The study program includes a blended learning concept which means that remote e-learning will be complemented by concept lectures, peer learning and interactive discussions with experts. Having only a limited number of in-class courses allows for large flexibility while at the same time permitting participants to profit from the experts’ expertise.
Start and Duration
The study program starts in September each year (date to be announced) and is designed for a minimum of 2 semesters.
The study program consists of 6 modules, with altogether 12 days on-site courses supplemented with e-learning elements. The overall study time is approximately between 375 to 450 working hours and credited with 15 ECTS.
On-site classes are held at sitem-insel, the Swiss Institute for Translational and Entrepreneurial Medicine in Bern, Switzerland. E-learning courses may be performed at home. In case of University closures due to Covid-19, planned on-site lessions will be held in virtual classrooms.
The course language is English.
Participants are required to have a completed study program in medicine, professional experiences as a medical doctor and basic knowledge in the handling of medical image data sets. Admission sur Dossier by the study commission is possible.
The study program “Artificial Intelligence in Medical Imaging” is jointly organized with Inselspital, the Bern University Hospital. Faculty includes professionals from research and development, from industry, as well as medical practitioners.
The following fee covers all expenses within the CAS AI in MI.
CAS Artificial Intelligence in Medical Imaging
We accept payment in installments at no additional costs, please contact us for individual conditions.
Dept. of Neuroradiology, TUM University Hospital
Dr. Benedikt Wiestler
As a neuroradiologist and researcher, I consider Deep Learning an essential future technology. The CAS program focuses on both the basics of AI as well as several hands-on exercises, including an individual thesis project, under the guidance of renowned researchers in the field. It was therefore very appealing to me. The introduction to fast AI and different application examples was something I enjoyed in particular. I can wholeheartedly recommend this course to anybody interested in AI.
Registration & Contact
Places are available but limited.
Registration is possible throughout the year, please use our contact form.
For further questions about the study program, please contact
Prof. Dr. Juergen Burger, Director sitem-insel School
Dr. Pascale Anderle, Vice Director & Head of Program
Ivan Santos, Learning & Marketing Project Manager
Jennifer Fischer, Administration & Communication