Early diagnosis of Keratoconus: the current state of the art

Edited by: Prof Shihao Chen

This collection was published in Eye and Vision.

Smart decision support system for keratoconus severity staging using corneal curvature and thinnest pachymetry indices

This study proposes a decision support system created in collaboration with machine learning experts and ophthalmologists for detecting keratoconus (KC) severity. The system employs an ensemble machine model a...

Authors: Zahra J. Muhsin, Rami Qahwaji, Mo’ath AlShawabkeh, Saif Aldeen AlRyalat, Muawyah Al Bdour and Majid Al-Taee

Citation: Eye and Vision 2024 11:28

Content type: Research Published on: 8 July 2024
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Keratectasia severity staging and progression assessment based on the biomechanical E-staging

Until recently, corneal topography has been the gold standard in detecting keratectasia and monitoring its progression. The recently introduced ABCD tomographic keratoconus staging system focuses on anterior (...

Authors: Elias Flockerzi and Berthold Seitz

Citation: Eye and Vision 2024 11:24

Content type: Review Published on: 1 July 2024
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Multi-modal imaging for the detection of early keratoconus: a narrative review

Keratoconus is a common progressive corneal disorder that can be associated with significant ocular morbidity. Various corneal imaging techniques have been used for the diagnosis of established cases. However,...

Authors: Muawyah Al Bdour, Hashem M. Sabbagh and Hisham M. Jammal

Citation: Eye and Vision 2024 11:18

Content type: Review Published on: 11 May 2024
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Early diagnosis of Keratoconus: the current state of the art

Smart decision support system for keratoconus severity staging using corneal curvature and thinnest pachymetry indices

Keratectasia severity staging and progression assessment based on the biomechanical E-staging

Multi-modal imaging for the detection of early keratoconus: a narrative review