Equipping AI for Unbiased and Inclusive Neurology

This Viewpoint advocates for inclusive artificial intelligence (AI) training and iterative testing and cautions against the uncritical adoption of AI engines that are trained on median patient groups and exclude the outlier groups that neurology regularly treats.

Authors

Nina F. Schor (ORCID: https://orcid.org/0000-0002-3817-7376)

Institutions

National Institutes of Health (US)
Office of Extramural Research (US)

Publication Details

Journal: JAMA Neurology
Published: 2024-11-25
DOI: https://doi.org/10.1001/jamaneurol.2024.3954
Citations: 2
Primary Topic: Artificial Intelligence in Healthcare and Education
Type: article
Field-Weighted Citation Impact: 0.24

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article

Equipping AI for Unbiased and Inclusive Neurology

Nina F. Schor

Nov 25, 2024

2 citations

JAMA Neurology

Artificial Intelligence in Healthcare and Education

0.24

article

Equipping AI for Unbiased and Inclusive Neurology

Nina F. Schor

November 25, 2024article en

2 citations

Abstract

JAMA NeurologyVol. 82(3)

National Institutes of Health (US), Office of Extramural Research (US)

Openalex Percentile: Top 39%

Artificial Intelligence in Healthcare and Education

0.24

DOI Source OpenAlex

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Equipping AI for Unbiased and Inclusive Neurology — Nina F. Schor · JAMA Neurology (2024) | TGRS Research Map | TGRS