Artificial Intelligence in Medicine (IN2403)
Course 0000000960 in WS 2022/3
General Data
| Course Type | lecture |
|---|---|
| Semester Weekly Hours | 4 SWS |
| Organisational Unit | Informatics 31 - Chair of Artificial Intelligence in Healthcare and Medicine (Prof. Rückert) (Joint Appointment between Department of Medicine und Department of Informatics) |
| Lecturers |
Daniel Rückert Julia Schnabel |
| Dates |
Thu, 16:00–18:00, EI-HS Garching Mon, 16:00–18:00, EI-HS Garching |
Assignment to Modules
-
IN2403: Artificial Intelligence in Medicine / Artificial Intelligence in Medicine
This module is included in the following catalogs:- Focus Area Imaging in M.Sc. Biomedical Engineering and Medical Physics
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | • Introduction: Clinical motivation, clinical data, clinical workflows • ML for medical imaging • Data curation for medical applications • Domain shift in medical applications: Adversarial learning and Transfer learning • Self-supervised learning and unsupervised learning • Learning from sparse and noisy data • ML for unstructured and multi-modal clinical data • NLP for clinical data • Bayesian approaches to deep learning and uncertainty • Interpretability and explainability • Federated learning, privacy-preserving ML and ethics • ML for time-to-event modeling, survival models • ML for differential diagnosis and stratification • Clinical applications in pathology/radiology/omics |
|---|---|
| Links |
E-Learning course (e. g. Moodle) TUMonline entry |
Equivalent Courses (e. g. in other semesters)
| Semester | Title | Lecturers | Dates |
|---|---|---|---|
| WS 2021/2 | Artificial Intelligence in Medicine (IN2403) | Rückert, D. Schnabel, J. |
Tue, 16:15–17:45, virtuell Thu, 16:15–17:45 |