Artificial intelligence for anterior segment diseases: Emerging applications in ophthalmology
With the advancement of computational power, refinement of learning algorithms and
architectures, and availability of big data, artificial intelligence (AI) technology, particularly …
architectures, and availability of big data, artificial intelligence (AI) technology, particularly …
Early detection of diabetic peripheral neuropathy: a focus on small nerve fibres
J Burgess, B Frank, A Marshall, RS Khalil, G Ponirakis… - Diagnostics, 2021 - mdpi.com
Diabetic peripheral neuropathy (DPN) is the most common complication of both type 1 and 2
diabetes. As a result, neuropathic pain, diabetic foot ulcers and lower-limb amputations …
diabetes. As a result, neuropathic pain, diabetic foot ulcers and lower-limb amputations …
[HTML][HTML] Rapid automated diagnosis of diabetic peripheral neuropathy with in vivo corneal confocal microscopy
Purpose.: To assess the diagnostic validity of a fully automated image analysis algorithm of
in vivo confocal microscopy images in quantifying corneal subbasal nerves to diagnose …
in vivo confocal microscopy images in quantifying corneal subbasal nerves to diagnose …
Automatic analysis of diabetic peripheral neuropathy using multi-scale quantitative morphology of nerve fibres in corneal confocal microscopy imaging
Diabetic peripheral neuropathy (DPN) is one of the most common long term complications of
diabetes. Corneal confocal microscopy (CCM) image analysis is a novel non-invasive …
diabetes. Corneal confocal microscopy (CCM) image analysis is a novel non-invasive …
In Vivo Confocal Microscopy of the Ocular Surface: From Bench to Bedside
In vivo confocal microscopy (IVCM) is an emerging technology that provides minimally
invasive, high resolution, steady-state assessment of the ocular surface at the cellular level …
invasive, high resolution, steady-state assessment of the ocular surface at the cellular level …
Small nerve fiber quantification in the diagnosis of diabetic sensorimotor polyneuropathy: comparing corneal confocal microscopy with intraepidermal nerve fiber …
OBJECTIVE Quantitative assessment of small fiber damage is key to the early diagnosis and
assessment of progression or regression of diabetic sensorimotor polyneuropathy (DSPN) …
assessment of progression or regression of diabetic sensorimotor polyneuropathy (DSPN) …
An automatic tool for quantification of nerve fibers in corneal confocal microscopy images
We describe and evaluate an automated software tool for nerve-fiber detection and
quantification in corneal confocal microscopy (CCM) images, combining sensitive nerve …
quantification in corneal confocal microscopy (CCM) images, combining sensitive nerve …
An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation …
Aims/hypothesis Corneal confocal microscopy is a rapid non-invasive ophthalmic imaging
technique that identifies peripheral and central neurodegenerative disease. Quantification of …
technique that identifies peripheral and central neurodegenerative disease. Quantification of …
Detection of diabetic sensorimotor polyneuropathy by corneal confocal microscopy in type 1 diabetes: a concurrent validity study
A Ahmed, V Bril, A Orszag, J Paulson, E Yeung… - Diabetes …, 2012 - Am Diabetes Assoc
OBJECTIVE We aimed to determine the corneal confocal microscopy (CCM) parameter that
best identifies diabetic sensorimotor polyneuropathy (DSP) in type 1 diabetes and to …
best identifies diabetic sensorimotor polyneuropathy (DSP) in type 1 diabetes and to …
Small fibre neuropathy: role in the diagnosis of diabetic sensorimotor polyneuropathy
Abstract Small fibres constitute 70–90% of peripheral nerve fibres and regulate several key
functions such as tissue blood flow, temperature and pain perception as well as sweating, all …
functions such as tissue blood flow, temperature and pain perception as well as sweating, all …