News Medical Image Processing & AI

  • 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).

  • PD Dr. Tobias Lasser and Alessandro Wollek

    Interview with computer scientist Alessandro Wollek and ethics researcher Theresa Willem

    More transparency for AI in diagnostics

    5 June 2023 | AI has the potential to support diagnoses in radiology. However, until now, a lack of transparency has often made it difficult to understand the recommendations made by AI. Researchers have now investigated whether and how the visual representations used in AI image analysis – referred to as Saliency Maps – can help.

  • The TUM Think Tank is setting up a task force to provide orientation and guidance on handling generative AI to the policy, administration, community and business sectors.

    TUM Think Tank to offer guidance

    New generative AI task force

    19 April 2023 | The TUM Think Tank is setting up a task force to provide orientation and guidance on handling generative AI to the policy, administration, community and business sectors.

  • Prof. Dr. Gil Gregor Westmeyer

    Electron microscopy: Nano-reporter proteins make invisible processes visible

    Genetically encoded nano-barcodes

    18 April 2023 | Electron microscopy: Nano-reporter proteins make invisible processes visible