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Artificial Intelligence in Medicine II (IN2408)

Course 0000001993 in SS 2023

General Data

Course Type lecture with integrated exercises
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
Christian Wachinger
Dates Wed, 16:00–18:00, GALILEO Taurus
Thu, 14:00–16:00, GALILEO Taurus
and 3 singular or moved dates

Assignment to Modules

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 and examples of advanced prediction and classification problems in medicine; ML for prognostic and diagnostic tasks; risk scores, time-to-event modeling, survival models, differential diagnosis & population stratification, geometric deep learning: point clouds & meshes, mesh-based segmentation, shape analysis, trustworthy AI in medicine: bias and fairness, generalizability, AI for affordable healthcare, clinical deployment and evaluation, data harmonization, causal inference, transformers, reinforcement learning in medicine, ML for neuro: structural neuroimaging, functional neuroimaging, diffusion imaging, ML for CVD: EEG analysis
Links E-Learning course (e. g. Moodle)
TUMonline entry

Equivalent Courses (e. g. in other semesters)

SemesterTitleLecturersDates
SS 2024 Artificial Intelligence in Medicine II (IN2408) Ezhov, I. Rückert, D. Schnabel, J. Wachinger, C. Wed, 16:00–18:00, GALILEO Taurus
Thu, 14:00–16:00, GALILEO Taurus
SS 2022 Artificial Intelligence in Medicine II (IN2408) Rückert, D. Schnabel, J. Wachinger, C. Tue, 08:00–10:00, GALILEO 300
Thu, 16:00–18:00, MI HS3
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