Corneal biomechanics in early diagnosis of keratoconus using …
Nov 9, 2023 · This article, which is the first to comprehensively review AI-based diagnosis and research progress for keratoconus in terms of corneal biomechanical properties, demonstrates the high accuracy of AI in keratoconus diagnosis and provides directions for early diagnosis and timely intervention.
Deep Learning Algorithm for Keratoconus Detection from …
For normal cornea identification, AI model 1 had accuracy of 93.4% and AI model 2 and 3 had the same accuracy of 98.4%. For KC diagnosis, AI model 1 had an accuracy of 96.4% and AI models 2 and 3 had the same accuracy of 93.5%. The diagnosis of subclinical KC remains challenging because there is no clear definition.
Multimodal diagnostics for keratoconus and ectatic corneal …
Nov 3, 2023 · The AI algorithms confirmed that the arrangement of deformation parameters improved the accuracy of distinguishing healthy and KC eyes, even in mild stages . In 2014, two principal parameters were developed by a multicentric international investigation group for improving corneal ectasia recognition, the CBI and the TBI [ 89 , 90 ].
Artificial intelligence (AI) has been recently applied to solve the problem of early keratoconus diagnosis since an in-depth analysis of several relevant parameters can be achieved with known links when the logical associations between influencing factors and …
Universal architecture of corneal segmental tomography …
Nov 29, 2021 · Purpose: To determine whether combinations of devices with different measuring principles, supported by artificial intelligence (AI), can improve the diagnosis of keratoconus (KC).
Artificial intelligence–based stratification of demographic, ocular ...
The purpose of this study was to identify and analyze the clinical and ocular surface risk factors influencing the progression of keratoconus (KC) using an artificial intelligence (AI) model.
Accuracy of Machine Learning Assisted Detection of Keratoconus: …
Jan 18, 2022 · We conducted a meta-analysis to determine the pooled sensitivity and specificity of machine learning models for detecting KC. (3) Results: Thirty-five studies were included in this review.
Artificial intelligence in ophthalmology: The path to the real …
Jul 18, 2023 · In ophthalmology, the application of AI is very promising, given that the diagnoses and therapeutic monitoring of ocular diseases often rely heavily on image recognition (Figure 2).
Comparison of different corneal imaging modalities using artificial ...
Jul 7, 2023 · Simultaneous Scheimpflug and Placido corneal imaging methods provide high diagnostic accuracy for early detection of keratoconus. The use of AI models improves the discrimination of keratoconic eyes from normal corneas.
Universal architecture of corneal segmental tomography …
A universal architecture of combining segmental tomography with ZP and AI was developed. It achieved an excellent classification of healthy and KC eyes. The AI efficiently classified the VAE eyes as 'subclinical' and 'forme-fruste'.