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Noticing in Neurology

Lees, AJ; (2019) Noticing in Neurology. Practical Neurology 10.1136/practneurol-2018-002176. (In press). Green open access

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Abstract

There are three classes of people: those who see, those who see when they are shown, those who do not seeLeonardo da VinciThe three cardinal qualities necessary for the ideal neurologist are observation, the ability to reason backwards inferentially and specialist knowledge. Modern medical technology has greatly increased the ability to diagnose and treat disease but it has also encouraged a benign variant of abulia, which is killing off the art and science of clinical reasoning. Intent gazing at the unfamiliar with old eyes or a long look at the familiar with new eyes offers the neurologist an opportunity to discover hitherto unnoticed diagnostic signs far beyond the resolution of the brain scanner and even the light microscope. While there may be nothing new under the sun, there are plenty of old things that no one has observed, which have the potential to greatly improve clinical practice.

Type: Article
Title: Noticing in Neurology
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1136/practneurol-2018-002176
Publisher version: https://doi.org/10.1136/practneurol-2018-002176
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: charcot, inspection in neurology, noticing, observation in neurology, Sherlock Holmes
UCL classification: UCL
UCL > Provost and Vice Provost Offices
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 > Clinical and Movement Neurosciences
URI: https://discovery.ucl.ac.uk/id/eprint/10074190
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