News Medical Image Processing & AI

  • Gliom Connectom Analysis: die Arbeitsgruppe funktionelle Neuronavigation und -monotoring von Prof. Dr. med. Sandro Krieg an der Neurochirurgischen Klinik der TUM am Klinikum rechts der Isar kartiert präoperativ den Bereich der Bewegungs- und Spracharele mittels navigierter transkranieller Magnetsimulation (nTMS), um diese Bereiche bei einer Operation eines Hirntumors (Gliom) zu schonen. Bild: Astrid Eckert / TUM

    TUM Center for Structural and Functional Connectomics

    New center for brain research on the Garching campus

    10 July 2025 | A new connectomics research center will be established on the TUM campus in Garching, which will focus on the comprehensive mapping and analysis of all neuronal connections in the brain.

  • The ground-breaking ceremony for the ZDMG: From left: Thomas Jenkel, Dr. Martin Siess, Research Minister Markus Blume, Prof. Daniel Rückert, Prof. Stephanie Combs, Prof. Gerhard Kramer. Image: Kathrin Czoppelt / TUM Klinikum

    New infrastructure for pioneering research at the TUM University Hospital

    Construction begins on new Center for Digital Medicine and Health

    27 June 2025 | Construction has officially begun on the new Center for Digital Medicine and Health (ZDMG) at the Technical University of Munich (TUM), marked by a symbolic groundbreaking ceremony. The interdisciplinary center, which will bring together medical research, artificial intelligence, and data science under one roof, is being built on the campus of the TUM University Hospital Rechts der Isar.

  • Julijana Gjorgjieva, professor for Computational Neurosciences at TUM. Image: Astrid Eckert / TUM

    Neural Networks benefit from biological data

    How artificial intelligence can learn from mice

    12 June 2025 | The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications — from autonomous driving to robotics. Researchers at TUM have now discovered that artificial neural networks can perform this task better when trained with biological data from early visual system development.

  • Machine learning methods are applied to process enormous quantities of data. Image: iStockphoto.com / Amiak

    Artificial intelligence in biomedicine

    A key to analyzing millions of individual cells

    23 January 2025 | Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person’s cells differ from those of someone with a disease? To draw conclusions, enormous quantities of data must be analyzed and interpreted. For this purpose, machine learning methods are applied. Researchers at TUM and Helmholtz Munich have now tested self-supervised learning as a promising approach for testing 20 million cells or more.

  • The time of a stroke is currently usually determined using CT scans. The darker the damaged region, the longer ago the stroke occurred. A new AI-supported procedure can determine the time much more precisely. Image: sudok1 / istockphoto.com

    Algorithm for particularly precise assessment of brain damage

    AI pinpoints stroke timing with high accuracy

    16 December 2024 | Quick action after a stroke hits can significantly reduce permanent damage. However, it is crucial to determine the exact time of the event to decide on the best treatment. A research team, including expertise from TUM, has developed an algorithm that can determine the timing of a stroke with exceptional precision, outperforming current approaches by a factor of two.

  • Leibniz Awardee 2025: Prof. Daniel Rückert. Image: Juli Eberle / TUM

    Most important German research prize for TUM professor

    Medical AI researcher Daniel Rückert receives Leibniz Prize

    11 December 2024 | Computer scientist and AI researcher Prof. Daniel Rückert receives the Gottfried Wilhelm Leibniz Prize 2025. The professor of AI in Medicine and Healthcare at TUM is being honored for his research on AI-assisted medical imaging. The most important German research prize is endowed with 2.5 million euros by the DFG.

  • Daniel Cremers, Professor of Computer Vision & Artificial Intelligence Image: Astrid Eckert / TUM

    Interview with Prof. Daniel Cremers on the future of AI

    “The goal of AI is to make our lives easier”

    05 December 2024 | Technologies based on AI are already affecting our everyday lives – from the systems that facilitate movie and music selections to language assistants that formulate emails. But what developments will come along in the coming years? Daniel Cremers, a professor of Computer Vision and AI at TUM, offers insights into the future of AI.

  • A woman injecting insulin

    Optoacoustic imaging method RSOM shows severity of the disease

    Examining diabetes with a skin scanner and AI

    11 December 2023 | Changes in small blood vessels are a common consequence of diabetes development. Researchers at TUM and Helmholtz Munich have now developed a method that can be used to measure these microvascular changes in the skin – and thus assess the severity of the disease. To achieve this, they combine AI and innovative high-resolution optoacoustic imaging technology.

  • Prof. Burkhard Rost

    Hope for treatments for type 2 diabetes and hypertension

    Evolutionary history of three-finger snake toxins decoded

    09 October 2023 | Researchers at TUM have investigated how snake toxin emerged between 50 and 120 million years ago through the modification of a gene that also occurs in mammals and other reptiles.

  • Franz Pfeiffer, Professor of Biomedical Physics

    Shortlist for Research Prize 2023 for medical pioneers

    Prof. Franz Pfeiffer nominated for the A. F. Harvey Engineering Research Prize 2023

    16 June 2023 | Franz Pfeiffer, Director of the Munich Institute of Biomedical Engineering (MIBE) and Professor of Biomedical Physics, has been shortlisted for the A. F. Harvey Engineering Research Prize 2023 by the Institution of Engineering and Technology (IET).