AI med - Clinics
Develop a basic understanding of the potentials and challenges of using AI in various fields of medicine through exciting application scenarios. The course includes a variety of exercises to help you acquire knowledge and competences. Not just for health professionals!
📊︎
Intermediate
⏱
16 hours
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Record of Achievement
🎁︎
For free
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4.33 (6)
©
CC BY-SA 4.0
🌐︎
German
This course belongs to the course series
AI med – Artificial Intelligence in Medicine
AI med – Artificial Intelligence in Medicine
Overview
Gain insights into various application fields of AI in medicine with the online course "AI med - Clinics". Experts from Charité Berlin provide fascinating practical examples and discuss the potential and challenges of using AI technologies. Covering a broad range of topics from AI in neuroimaging to application scenarios in drug development, you can deepen your knowledge and discover new perspectives.
What content can I expect?
- Deep learning in neuroimaging
- Computer interfaces in neurotechnology
- Clinical databases in transplant medicine
- Method development and drug design in pharmaceutical research
- Machine learning models in oncology
- Routine data and data utilisation in intensive care medicine
What will I achieve?
Upon completion of the course, you will be able to...
- explain the influence that the standardisation and modelling of data in databases has on subsequent AI models in the clinical field.
- describe the relationships between databases and the prediction of disease progression and drug efficacy.
- explain what data an artificial neural network requires in order to train a medical prediction model and how its success rate is measured.
What prerequisites do I need?
- Prerequisites based on Dr. med. AI – Basics
What else should I know?
