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Development and implementation of new diagnostic technologies in neurology

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The past 5–10 years have seen rapid advances in digital sensors and imaging-based technologies for the diagnosis of neurological conditions. However, the majority of these technologies are in the early stages of development — now is the time to consider how we validate these tools and safely integrate them into clinical practice.

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Fig. 1: Requirements for clinical translation of artificial intelligence-based algorithms.

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Acknowledgements

We thank M. Bach Cuadra for the layout of Fig. 1.

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Authors and Affiliations

  1. Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland

    Cristina Granziera & Ludwig Kappos

  2. Department of Neurology, University Hospital Basel, Basel, Switzerland

    Cristina Granziera, Tim Woelfle & Ludwig Kappos

  3. Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland

    Cristina Granziera, Tim Woelfle & Ludwig Kappos

Authors
  1. Cristina Granziera
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  2. Tim Woelfle
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  3. Ludwig Kappos
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Correspondence to Cristina Granziera.

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The authors declare no competing interests.

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Digital Medicine society (DiMe) Library of Digital Endpoints: https://www.dimesociety.org/communication-education/library-of-digital-endpoints/

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Granziera, C., Woelfle, T. & Kappos, L. Development and implementation of new diagnostic technologies in neurology. Nat Rev Neurol 18, 445–446 (2022). https://doi.org/10.1038/s41582-022-00692-z

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