Results 101 to 110 of about 41,277 (235)

Risk factors, management, and outcomes of Acanthamoeba keratitis: A retrospective analysis of 110 cases

American Journal of Ophthalmology Case Reports, 2022
Brittni A Scruggs, Tyler S. Quist, M. Zimmerman, Jorge L. Salinas, M. Greiner   +4 more
semanticscholar   +1 more source

Acanthamoeba keratitis related to contact lens use in a tertiary hospital in China

BMC Ophthalmology, 2019
BackgroundTo report the clinical and microbiological features of Acanthamoeba keratitis (AK) related to contact lens use in a tertiary hospital in China.MethodsIn this retrospective study, the medical results of 61 cases of AK related to contact lens use
Weiwei Li, Zhi-qun Wang, J. Qu, Yang Zhang, Xuguang Sun   +4 more
semanticscholar   +1 more source

Acanthamoeba keratitis: Masquerading as adenoviral keratitis [PDF]

, 1996
Karen L. Goodall, Arun Brahma, A E Ridgway   +2 more
openalex   +1 more source

Genotypic diversity of Acanthamoeba strains isolated from Chilean patients with Acanthamoeba keratitis

Parasites & Vectors, 2019
BackgroundAcanthamoeba spp. are the causative agents of a severe keratitis occurring mainly in contact lens wearers. The genus comprises more than 24 species that are currently divided into 20 different genotypes (T1-T20) according to sequence variations
M. I. Jercic, C. Aguayo, M. Saldarriaga-Cordoba, L. Muiño, Stella Maris Chenet, J. Lagos, A. Osuna, Jorge Fernández   +7 more
semanticscholar   +1 more source

Enabling Collaborative Clinical Diagnosis of Infectious Keratitis by Integrating Expert Knowledge and Interpretable Data-driven Intelligence [PDF]

arXiv
Although data-driven artificial intelligence (AI) in medical image diagnosis has shown impressive performance in silico, the lack of interpretability makes it difficult to incorporate the "black box" into clinicians' workflows. To make the diagnostic patterns learned from data understandable by clinicians, we develop an interpretable model, knowledge ...
arxiv  

Risk factors for acanthamoeba keratitis [PDF]

, 1995
D.V. Seal, J. Hay
openalex   +1 more source

Classification of Keratitis from Eye Corneal Photographs using Deep Learning [PDF]

arXiv
Keratitis is an inflammatory corneal condition responsible for 10% of visual impairment in low- and middle-income countries (LMICs), with bacteria, fungi, or amoeba as the most common infection etiologies. While an accurate and timely diagnosis is crucial for the selected treatment and the patients' sight outcomes, due to the high cost and limited ...
arxiv  

Acanthamoeba keratitis following optical keratoplasty [PDF]

, 1999
Anita Panda, Neelam Pushker, Geeta Satpathy, Niranjan Naik   +3 more
openalex   +1 more source

Confirmation of Confocal Microscopy Diagnosis of Acanthamoeba Keratitis Using Polymerase Chain Reaction Analysis [PDF]

, 2000
William D. Mathers
openalex   +1 more source

An investigation into the relationship between intracellular bacteria and Acanthamoeba spp. [PDF]

, 2015
Acanthamoeba is an opportunistic single-celled protist, found ubiquitously in nature. It is the causative agent of the sight-threatening eye disease, Acanthamoeba keratitis (AK), and has been shown to act as a protective harbor for a variety of bacterial
Grible, Jacqueline
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