Promising artificial intelligence-machine learning-deep learning algorithms in ophthalmology

L Balyen, T Peto - The Asia-Pacific Journal of Ophthalmology, 2019 - journals.lww.com
The lifestyle of modern society has changed significantly with the emergence of artificial
intelligence (AI), machine learning (ML), and deep learning (DL) technologies in recent …

Artificial intelligence for anterior segment diseases: Emerging applications in ophthalmology

DSJ Ting, VHX Foo, LWY Yang, JT Sia… - British journal of …, 2021 - bjo.bmj.com
With the advancement of computational power, refinement of learning algorithms and
architectures, and availability of big data, artificial intelligence (AI) technology, particularly …

The impact of artificial intelligence in medicine on the future role of the physician

AS Ahuja - PeerJ, 2019 - peerj.com
The practice of medicine is changing with the development of new Artificial Intelligence (AI)
methods of machine learning. Coupled with rapid improvements in computer processing …

Current state and future prospects of artificial intelligence in ophthalmology: a review

DT Hogarty, DA Mackey… - Clinical & experimental …, 2019 - Wiley Online Library
Artificial intelligence (AI) has emerged as a major frontier in computer science research.
Although AI has broad application across many medical fields, it will have particular utility in …

Deep learning applications in ophthalmology

E Rahimy - Current opinion in ophthalmology, 2018 - journals.lww.com
Deep learning applications in ophthalmology : Current Opinion in Ophthalmology Deep learning
applications in ophthalmology : Current Opinion in Ophthalmology Log in or Register Subscribe …

[HTML][HTML] Pentacam® corneal tomography for screening of refractive surgery candidates: a review of the literature, part I

MN Motlagh, M Moshirfar, MS Murri… - … and Innovation in …, 2019 - ncbi.nlm.nih.gov
Corneal tomography and Scheimpflug imaging are frequently used to analyze the corneal
surface, especially in the field of cataract and refractive surgery. The Pentacam system is …

Keratoconus detection using deep learning of colour-coded maps with anterior segment optical coherence tomography: a diagnostic accuracy study

K Kamiya, Y Ayatsuka, Y Kato, F Fujimura… - BMJ open, 2019 - bmjopen.bmj.com
Objective To evaluate the diagnostic accuracy of keratoconus using deep learning of the
colour-coded maps measured with the swept-source anterior segment optical coherence …

New perspectives on the detection and progression of keratoconus

A Martínez-Abad, DP Piñero - Journal of Cataract & Refractive Surgery, 2017 - Elsevier
Laser refractive surgery has increased markedly in recent years, making the detection of
corneal abnormalities extremely relevant. For this reason, an accurate diagnosis of clinical …

Keratoconus prevalence among high school students in New Zealand

AT Papali'i-Curtin, R Cox, T Ma, L Woods, A Covello… - Cornea, 2019 - journals.lww.com
Purpose: To determine the prevalence of keratoconus among high school students in
Wellington, New Zealand. Method: The Wellington Keratoconus Study was a population …

Systematic view and impact of artificial intelligence in smart healthcare systems, principles, challenges and applications

M Kavitha, S Roobini, A Prasanth… - Machine learning and …, 2023 - api.taylorfrancis.com
Artificial intelligence (AI) is a branch of science and technology aimed at creating
autonomous systems that are human-like. This is known as “General AI,” and it refers to …