[HTML][HTML] Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks

S Nazir, DM Dickson, MU Akram - Computers in Biology and Medicine, 2023 - Elsevier
Artificial Intelligence (AI) techniques of deep learning have revolutionized the disease
diagnosis with their outstanding image classification performance. In spite of the outstanding …

Glaucoma: now and beyond

H Jayaram, M Kolko, DS Friedman, G Gazzard - The Lancet, 2023 - thelancet.com
The glaucomas are a group of conditions leading to irreversible sight loss and characterised
by progressive loss of retinal ganglion cells. Although not always elevated, intraocular …

Deep learning-based glaucoma detection with cropped optic cup and disc and blood vessel segmentation

MT Islam, ST Mashfu, A Faisal, SC Siam… - Ieee …, 2021 - ieeexplore.ieee.org
Glaucoma is an irreversible neurodegenerative disease, where intraocular hypertension is
developed due to the increased aqueous humor and blockage of the drainage system …

[HTML][HTML] Automatic detection of glaucoma via fundus imaging and artificial intelligence: A review

LJ Coan, BM Williams, VK Adithya, S Upadhyaya… - Survey of …, 2023 - Elsevier
Glaucoma is a leading cause of irreversible vision impairment globally, and cases are
continuously rising worldwide. Early detection is crucial, allowing timely intervention that can …

[HTML][HTML] Endpoints for clinical trials in ophthalmology

L Schmetterer, H Scholl, G Garhöfer… - Progress in Retinal and …, 2023 - Elsevier
With the identification of novel targets, the number of interventional clinical trials in
ophthalmology has increased. Visual acuity has for a long time been considered the gold …

The AI revolution in glaucoma: Bridging challenges with opportunities

F Li, D Wang, Z Yang, Y Zhang, J Jiang, X Liu… - Progress in Retinal and …, 2024 - Elsevier
Recent advancements in artificial intelligence (AI) herald transformative potentials for
reshaping glaucoma clinical management, improving screening efficacy, sharpening …

Comprehensive review on the use of artificial intelligence in ophthalmology and future research directions

N Anton, B Doroftei, S Curteanu, L Catãlin, OD Ilie… - Diagnostics, 2022 - mdpi.com
Background: Having several applications in medicine, and in ophthalmology in particular,
artificial intelligence (AI) tools have been used to detect visual function deficits, thus playing …

[HTML][HTML] Artificial intelligence, human intelligence, and the future of public health

S Bhattacharya - AIMS Public Health, 2022 - ncbi.nlm.nih.gov
In this paper, I have described the healthcare problem (maldistribution of doctors) in India.
Later, I have introduced the concept of artificial intelligence (AI) and I have described AI …

Using artificial intelligence to analyse the retinal vascular network: the future of cardiovascular risk assessment based on oculomics? A narrative review

L Arnould, F Meriaudeau, C Guenancia… - Ophthalmology and …, 2023 - Springer
The healthcare burden of cardiovascular diseases remains a major issue worldwide.
Understanding the underlying mechanisms and improving identification of people with a …

Applications of artificial intelligence and deep learning in glaucoma

D Chen, EA Ran, TF Tan… - The Asia-Pacific …, 2023 - journals.lww.com
Diagnosis and detection of progression of glaucoma remains challenging. Artificial
intelligence–based tools have the potential to improve and standardize the assessment of …