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    AI in Molecular Imaging: The Vast Potential

    3min
    Marcus Hacker
    Published on October 8, 2019
    Marcus Hacker writes about the potential of AI in medicine, especially in molecular imaging.

    Starting Simply: Classical Segmentation

    The potential of AI in healthcare is increasing fast in molecular imaging.

    Radiomics

    Medicine is a science of uncertainty and an art of probability.

    Sir William Osler

    21st-century Bayes

    It is also important to peruse what I call “convergence engagement” among disciplines.

    Professor Marcus Hacker, MD

    What's Next?

    Marcus Hacker writes about the potential of AI in medicine, especially in molecular imaging.
    Marcus Hacker writes about the potential of AI in medicine, especially in molecular imaging.
    By Marcus Hacker
    Univ.-Prof. Dr. Marcus Hacker is the Professor for Nuclear Medicine and Head of the Clinical Department for Nuclear Medicine at the Medical University of Vienna.
    1. Esteva A, Kuprel B, Novoa RA, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017;542:115-118.