The lab on a winter retreat in the Alps

Welcome

Chair of AI in Healthcare and Medicine

Our interdisciplinary team from computer science, engineering and medicine develops algorithms and methods for the analysis and interpretation of biomedical data.

Research

At the Lab for AI in Medicine at TU Munich, we develop algorithms and models to improve medicine for patients and healthcare professionals. Our aim is to develop artificial intelligence (AI) and machine learning (ML) techniques for the analysis and interpretation of biomedical data. We focus on pursuing blue-sky research, including:

A radiologist reading brain and spine scans across a row of monitors

Jiazhen Pan · Julian Suk · Paula A. Perez-Toro · Philip Müller

AI for biomedical image analysis and interpretation

Two axial brain MRI slices, FLAIR and T2-weighted

Ivan Ezhov · Sevgi Gokce Kafali

Inverse problems in biomedical imaging

A retinal fundus image beside an OCT scan and its thickness profile

Martin Menten

AI for vision

A padlock on a shelf of patient files

Alexander Ziller · Raphael Rehms

Privacy-preserving and trustworthy AI in medicine

All research areas

People

Chair

Daniel Rückert

Alexander von Humboldt Professor for AI in Medicine and Healthcare; Director, Institute for AI and Informatics in Medicine

Management

Researchers

Alexander Ziller Ivan Ezhov Jiazhen Pan Julian Suk Martin Menten Paula A. Perez-Toro Philip Müller Raphael Rehms Sevgi Gokce Kafali Adrian Dendorfer Alexander Berger Alexander Selivanov Alexander Weers Alina Dima Amna Ahmed Gillani Andrea Posada Cárdenas Anna Curto Vilalta Aswathi Varma Ayhan Can Erdur Chengzhi Shen Christian Beischl Daniel Scholz David Mildenberger Dmitrii Seletkov Florent Dufour Florian A. Hölzl Friederike Jungmann Haifa Beji Hendrik Möller Johannes Kaiser Jonas Kuntzer Jonas Weidner Julian McGinnis Kristian Schwethelm Laurin Lux Leonhard Feiner Linus Kreitner Lucie Huang Matan Atad Maulik Cevalī Michelle Espranita Liman Moritz Knolle Moritz Schlager Márton Szép Nguyễn Văn Phi Niklas Bubeck Niklas Bühler Nikola Cenikj Nil Stolt-Ansó Radoslav Yankov Reihaneh Torkzadehmahani Ricardo Smits Serena Sarah Lockfisch Sophie Starck Thomas Sedlmeyr Tim Mach Vasiliki Sideri-Lampretsa Weixiang Shen Wenke Karbole Wenqi Huang Yundi Zhang Özgün Turgut Clara Sophie Vetter Florian Hinterwimmer Franz Rieger Henrik von Kleist

Meet all people

News

Welcoming the First AI in Biomedicine Cohort

Dr. Sevgi Gokce Kafali receives the Alexander von Humboldt Postdoctoral Fellowship

Daniel Rückert receives Leibniz Prize

MICCAI Enduring Impact Award

Emmy Noether Award

All news

Teaching

Teaching and education are an integral part of our institute’s mission. All of our courses—which are heavily influenced by our research—are taught in English. We offer lectures for students from various disciplines, but our core lectures are aimed at computer science students:

Courses and programmes Lectures, seminars and practicals This semester's courses Elite Master's programme AI in Biomedicine Programme website Work with us Theses, internships and student positions Browse our open projects

Vacancies

We are recruiting team members who would like to join us for a MSc, BSc or guided research/interdisciplinary project on an ongoing basis! Please look under Teaching to find out which projects we are currently offering. If you’d like to join us for one of these projects, please get in touch by contacting the appropriate staff member via e-mail and attach a motivation letter, transcript of academic records and CV.

Current vacancies

Currently no positions are available.

Internships

Unfortunately we cannot host any external students for internships.

Contact