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Neurologic Diagnostics in 2035: The Neurology Future Forecasting Series

Ciccarelli, O; Pandolfo, M; (2021) Neurologic Diagnostics in 2035: The Neurology Future Forecasting Series. Neurology , 97 (19) pp. 902-907. 10.1212/WNL.0000000000012833. Green open access

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Abstract

Innovations and advances in technologies over the past few years have yielded faster and wider diagnostic applications to patients with neurologic diseases. This article focuses on the foreseeable developments of the diagnostic tools available to the neurologist in the next 15 years. Clinical judgment is and will remain the cornerstone of the diagnostic process, assisted by novel technologies, such as artificial intelligence and machine learning. Future neurologists must be educated to develop, cultivate, and rely on their clinical skills, while becoming familiar with novel, often complex, assistive technologies.

Type: Article
Title: Neurologic Diagnostics in 2035: The Neurology Future Forecasting Series
Open access status: An open access version is available from UCL Discovery
DOI: 10.1212/WNL.0000000000012833
Publisher version: https://doi.org/10.1212/WNL.0000000000012833
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Life Sciences & Biomedicine, Clinical Neurology, Neurosciences & Neurology, BIOMARKER, GENETICS
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neuroinflammation
URI: https://discovery.ucl.ac.uk/id/eprint/10140331
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