Artificial Intelligence in Medicine

Clinical Decision Support

Mittwoch, 22.03.2023

Artificial intelligence (AI) has become a fundamental topic in many areas of technology and society. With a rich development history, the domain has undergone radical shifts in thinking. As such, this course will provide a broad overview of the topic of AI. As an introduction course, a historical overview will be given on the topic and a number of technical frameworks and concepts will be introduced. Topics covered will include:

- Clinical decision rules and expressions
- Evidence synthesis for evidence-based medicine
- Quality control, safety and cost-containment
- Computer-aided knowledge generation and systems medicine
- Data-driven and knowledge-guided learning
- Computer-aided diagnostic decision support
- Computer-aided treatment planning & therapy optimization
- Ethical and legal issues in clinical decision support

A course project with both theoretical and practical report will allow students to have a hands-on experience on methodologies and considerations of clinical decision support. Learning outcomes:
- A general understanding of principles of clinical decision support
- Experience in methodologies for computer-aided clinical decision support system

Dozierende(r): Prof. Kuangyu Shi
22.03.2023:13:15 - 14:00
Ort:5. Etage, F502
ARTORG Center
Murtenstrasse 50

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