Current trends and advances in research in neuro-engineering: methods and applications - Machine learning for healthcare practitioners: bridging medicine and AI

ABSTRACT

This course is designed to empower physicians with the knowledge and skills needed to harness the potential of machine learning and deep learning in the field of medicine. Explore how AI can enhance clinical decision-making, patient care, and medical research while demystifying complex algorithms in a medical context. Learn how to recognize and avoid typical methodological mistakes.

SCHEDULE

• 7th June, 9am-11am
• 21st June, 9am-1pm
• 28th June, 9am-1pm
• 5th July, 9am-2pm

This course is part of the training provided for IBES PhD Students in the academic year 2023/2024.

Those who succesfully attend and complete the course:

• are eligible for max. 3 credits if they are enrolled in cycle 37;
• gain 15 attendance hours of the IBES training for the Bioengineering (BIO) curriculum if they are enrolled in cycle 38 and 39.

Check the links above for further information about the specific academic requirements for each cyle and how to comply with them.