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Artificial Intelligence-Based Uveitis Diagnosis Through Retinal Vasculature Analysis: A Paradigm Shi...

Artificial Intelligence-Based Uveitis Diagnosis Through Retinal Vasculature Analysis: A Paradigm Shi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2b083b45a7c440dcb429d7c08afb6c0f

Artificial Intelligence-Based Uveitis Diagnosis Through Retinal Vasculature Analysis: A Paradigm Shift in Ocular Tuberculosis

About this item

Full title

Artificial Intelligence-Based Uveitis Diagnosis Through Retinal Vasculature Analysis: A Paradigm Shift in Ocular Tuberculosis

Publisher

Cheshire: Springer Healthcare

Journal title

Ophthalmology and Therapy, 2025-04, Vol.14 (4), p.717-732

Language

English

Formats

Publication information

Publisher

Cheshire: Springer Healthcare

More information

Scope and Contents

Contents

Introduction
Diagnosis of uveitis is complex and often requires a series of investigations. Here, we utilize artificial intelligence (AI) for the quantitative analysis of retinal vasculature parameters from fundus photographs to differentiate confirmed ocular tuberculosis (TB) from QuantiFERON (QFT)-positive uveitis without another identifiable...

Alternative Titles

Full title

Artificial Intelligence-Based Uveitis Diagnosis Through Retinal Vasculature Analysis: A Paradigm Shift in Ocular Tuberculosis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2b083b45a7c440dcb429d7c08afb6c0f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2b083b45a7c440dcb429d7c08afb6c0f

Other Identifiers

ISSN

2193-8245

E-ISSN

2193-6528

DOI

10.1007/s40123-025-01103-4

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