VLAI071 AI Without Hype or Illusions: Principles, Regulation, and Clinical Use Cases

Faculty of Medicine
autumn 2025
Extent and Intensity
5/0. 1 credit(s). Type of Completion: z (credit).
Teacher(s)
Mgr. Martina Bruzlová (lecturer)
prof. Ing. Daniel Schwarz, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Daniel Schwarz, Ph.D.
Department of Simulation Medicine – Theoretical Departments – Faculty of Medicine
Contact Person: Mgr. Martina Bruzlová
Supplier department: Department of Simulation Medicine – Theoretical Departments – Faculty of Medicine
Timetable
Wed 17. 9. 16:30–17:30 F37/346, Wed 8. 10. 16:30–17:30 F37/346, Wed 29. 10. 16:30–17:30 F37/346, Wed 19. 11. 16:30–17:30 F37/346, Wed 10. 12. 16:30–17:30 F37/346
Prerequisites (in Czech)
!TYP_STUDIA(B)
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 50 student(s).
Current registration and enrolment status: enrolled: 11/50, only registered: 1/50, only registered with preference (fields directly associated with the programme): 0/50
fields of study / plans the course is directly associated with
there are 8 fields of study the course is directly associated with, display
Abstract
The course is structured as a series of practitioner-led guest lectures. Sessions deliberately rotate across four lenses: CLINICAL PRACTICE (real-world use cases with an emphasis on benefits and limits for patient care), TECHNICAL PRINCIPLES (data quality, model fundamentals, interpreting outputs, bias), REGULATION (MDR, GDPR, GCP; validation/verification, safety, governance, responsible implementation), and SCIENCE (what is technically possible today, current directions and frontiers, opportunities for further research). Each meeting consists of a 40-minute talk with moderated discussion before and after. The goal is practical “AI literacy”: to spot meaningful use cases, ask the right questions, read and challenge outputs critically, identify risks and blind spots, and translate algorithms safely into clinical decision-making—without hype or illusions.
Language of instruction
Czech
Further Comments
Study Materials
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/med/autumn2025/VLAI071