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Deep learning predicts prevalent and incident Parkinson’s disease from UK Biobank fundus imaging

Deep learning predicts prevalent and incident Parkinson’s disease from UK Biobank fundus imaging

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_091c6ce186b142a18ce62c18956817de

Deep learning predicts prevalent and incident Parkinson’s disease from UK Biobank fundus imaging

About this item

Full title

Deep learning predicts prevalent and incident Parkinson’s disease from UK Biobank fundus imaging

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-02, Vol.14 (1), p.3637-3637, Article 3637

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Parkinson’s disease is the world’s fastest-growing neurological disorder. Research to elucidate the mechanisms of Parkinson’s disease and automate diagnostics would greatly improve the treatment of patients with Parkinson’s disease. Current diagnostic methods are expensive and have limited availability. Considering the insidious and preclinical ons...

Alternative Titles

Full title

Deep learning predicts prevalent and incident Parkinson’s disease from UK Biobank fundus imaging

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_091c6ce186b142a18ce62c18956817de

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_091c6ce186b142a18ce62c18956817de

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-54251-1

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