News Medical Image Processing & 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

  • Prof. Gordon Cheng is researching how insights from robotics and neuroscience can be combined - in order to build better robots and to help humans. Funded by an ERC Advanced Grant, he now wants to develop an exoskeleton for people with paralysis.

    Project STROLL: Soft exoskeleton for people with paralysis

    ERC Advanced Grant awarded to Prof. Dr. Cheng

    30 March 2023 | Prof. Gordon Cheng is awarded an ERC Advanced Grant for his project STROLL. He wants to develop a soft exoskeleton for people with paralysis.

  • PD Dr. Tobias Lasser (left) and Dr. Krammer work on the new algorithm FusionM4Net for the classification of skin lesions.

    Deep learning algorithm with improved diagnostic accuracy

    New algorithm for classification of skin lesions

    14 January 2022 | A research team has developed an algorithm that classifies skin lesions more accurately than previous algorithms by using an improved data fusion process.

  • Co-author Prof. Burkhard Rost in the Department of Informatics at the Technical University of Munich. Image: Juli Eberle / ediundsepp / TUM

    The proteins of Covid-19

    15 September 2021 | Machine learning assisted structure analysis reveals SARS-CoV-2 virus tactics

  • Daniel Rueckert is a professor for Artificial Intelligence in Healthcare and Medicine at TUM. Image: A. Heddergott / TUM

    Medical diagnostics algorithm identifies pneumonia in paediatric x-ray images

    New AI technology protects privacy

    25 May 2021 | AI algorithms can support medical personnel in diagnosing illnesses. However, to train these algorithms, a precious good warranting careful protection must be accessed: medical data. A team of researchers at the Technical University of Munich (TUM) has developed a technology that ensures that patients’ personal data are protected in the training of algorithms.

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