AI-MK: artificial intelligence for assessing and monitoring microbial keratitis.

Authors

Alfredo Borgia (ORCID: https://orcid.org/0000-0002-3976-242X)
Colby Hart (ORCID: https://orcid.org/0000-0002-3739-8177)
Matteo Airaldi (ORCID: https://orcid.org/0000-0001-9010-1208)
Gibran Butt (ORCID: https://orcid.org/0000-0001-5306-4647)
Giulia Coco (ORCID: https://orcid.org/0009-0007-5459-566X)
Stephen B. Kaye (ORCID: https://orcid.org/0000-0003-0390-0592)
Yalin Zheng (ORCID: https://orcid.org/0000-0002-7873-0922)
Adela Hulpus
Xu Chen
Vito Romano
Daniel Mahini
Tobi Somerville
Mahmoud Ahmed

Publication Details

Journal: Apollo (University of Cambridge)
Published: 2025-10-24
Primary Topic: Ocular Infections and Treatments
Type: article
Field-Weighted Citation Impact: 0.00

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article

AI-MK: artificial intelligence for assessing and monitoring microbial keratitis.

Alfredo Borgia, Colby Hart, Matteo Airaldi, Gibran Butt et al.

Oct 24, 2025

Apollo (University of Cambridge)

Ocular Infections and Treatments

article

AI-MK: artificial intelligence for assessing and monitoring microbial keratitis.

Alfredo Borgia, Colby Hart, Matteo Airaldi, Gibran Butt, Giulia Coco, Stephen B. Kaye, Yalin Zheng, Adela Hulpus, Xu Chen, Vito Romano, Daniel Mahini, Tobi Somerville, Mahmoud Ahmed

October 24, 2025article en

Abstract

No abstract available for this paper.

Apollo (University of Cambridge)

Openalex Percentile: Top 25%

Ocular Infections and Treatments

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AI-MK: artificial intelligence for assessing and monitoring microbial keratitis. — Alfredo Borgia, Colby Hart, et al. · Apollo (University of Cambridge) (2025) | TGRS Research Map | TGRS