Courses Medical Knowledge and Decision Support

Chair of Prof. Dr. Janna Hastings

Courses fall semester / Course language English

Kurs	Voraussetzungen	Credits
11,207,1.00 Digital Assistants in the Clinic	For JMM-HSG/UZH students and other students with an interest in digitalisation and artificial intelligence in the health sector.	2 ECTS
11,806,1.00 Artificial Intelligence for Health - Project Artificial intelligence technologies and digital data are driving innovations in the health sciences. This course offers students the opportunity to gain hands-on experience in creating a simple artificial intelligence application for a health-related use case.	For JMM-HSG/UZH students and other students with an interest in digitalisation and artificial intelligence in the health sector. Some familiarity with the Python programming language desirable but not essential.	2 ECTS

Courses spring semester / Courses language English

Course	Prerequisites	Credits
11,805,1.00 «Artificial Intelligence for Health» Artificial intelligence technologies and digital data are driving innovations in the health sciences. Through a series of in-depth examples, this course will introduce students to the different types of artificial intelligence technology and how they are used in practice to solve problems in medicine and health. After the course, students will: be familiar with the uses and opportunities for artificial intelligence in the health sector be able to recognise different families of artificial intelligence approach be aware of limitations and challenges with these technologies know what interpretability of such systems is and why it is important know how such systems are evaluated	For JMM-HSG/UZH students and other students with an interest in digitalisation and artificial intelligence in the health sector.	2 ECTS
11,806,1.00 «Artificial Intelligence for Health - Project» Artificial intelligence technologies and digital data are driving innovations in the health sciences. This course offers students the opportunity to gain hands-on experience in creating a simple artificial intelligence application for a health-related use case. After the course, students will: know about open-source implementations of artificial intelligence approaches gain hands-on experience implementing a small artificial intelligence application for a health decision-making use case gain practical experience programming in Python	For JMM-HSG/UZH students and other students with an interest in digitalisation and artificial intelligence in the health sector. Some familiarity with the Python programming language desirable but not essential.	2 ECTS

Further information can be found in the course catalogue of the University of St.Gallen.

Research

Course Catalogue