Neurologic Diagnostics in 2035
The Neurology Future Forecasting Series
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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.
Glossary
- AD=
- Alzheimer disease;
- AI=
- artificial intelligence;
- DL=
- deep learning;
- ICU=
- intensive care unit;
- ML=
- machine learning;
- MS=
- multiple sclerosis;
- NGS=
- next-generation sequencing;
- PD=
- Parkinson disease;
- VUS=
- variants of unknown significance;
- WES=
- whole exome sequencing;
- WGS=
- whole genome sequencing
Footnotes
Go to Neurology.org/N for full disclosures. Funding information and disclosures deemed relevant by the authors, if any, are provided at the end of the article.
↵* These authors contributed equally to this work.
Comment 901
Editorial, page 889
- Received March 21, 2021.
- Accepted in final form August 16, 2021.
- © 2021 American Academy of Neurology
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Dr. Steven Greenberg and Dr. Erika Williams