18 August 2023
Artificial Intelligence for Healthcare Data
Every day, a massive amount of patient data is generated and recorded on a global scale. Artificial Intelligence (AI) has the power to automatically process all this complex data and use it to improve the accuracy and quality of healthcare services, and to generate innovative solutions in this sector. It can therefore be used in a variety of settings and disease conditions for e.g., the improvement of diagnosis and treatment decisions, prediction of clinical outcomes, patient monitoring and development of medical devices. This course will introduce students to the fundamentals and applications of AI in the healthcare environment, by offering the chance of working with different types of health data, such as structured patient journals, medical imaging results, and time-series. Techniques used to handle health data, as well as selective AI algorithms suited for the problems, will be explored across real-life challenges within the healthcare setting. Focus will be given to supervised machine learning algorithms e.g. classification, regression.
Jan-Matthias Braun, Jürgen Herp, Manuella Lech Cantuaria
Completion of minimum 2 years of a related engineering programme at university level (equivalent to 120 ECTS), this also includes Computer Science and Data Science.
EUR 0: For more info see our website.
Exchange students from a partner university pay no tuition. Guest students pay tuition fees.
NON-EU student: 8635 DKK per course (1160 Euro)
EU Students: 4250 DKK per course (570 Euro)