[HTML][HTML] SHIFTing artificial intelligence to be responsible in healthcare: A systematic review
H Siala, Y Wang - Social Science & Medicine, 2022 - Elsevier
A variety of ethical concerns about artificial intelligence (AI) implementation in healthcare
have emerged as AI becomes increasingly applicable and technologically advanced. The …
have emerged as AI becomes increasingly applicable and technologically advanced. The …
Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective
The simultaneous maturation of multiple digital and telecommunications technologies in
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …
Recent advances of artificial intelligence in healthcare: A systematic literature review
The implementation of artificial intelligence (AI) is driving significant transformation inside
the administrative and clinical workflows of healthcare organizations at an accelerated rate …
the administrative and clinical workflows of healthcare organizations at an accelerated rate …
Foundational considerations for artificial intelligence using ophthalmic images
MD Abràmoff, B Cunningham, B Patel, MB Eydelman… - Ophthalmology, 2022 - Elsevier
Importance The development of artificial intelligence (AI) and other machine diagnostic
systems, also known as software as a medical device, and its recent introduction into clinical …
systems, also known as software as a medical device, and its recent introduction into clinical …
The role of telemedicine, in-home testing and artificial intelligence to alleviate an increasingly burdened healthcare system: Diabetic retinopathy
J Pieczynski, P Kuklo, A Grzybowski - Ophthalmology and therapy, 2021 - Springer
In the presence of the ever-increasing incidence of diabetes mellitus (DM), the prevalence of
diabetic eye disease (DED) is also growing. Despite many improvements in diabetic care …
diabetic eye disease (DED) is also growing. Despite many improvements in diabetic care …
Deep learning models for automated diagnosis of retinopathy of prematurity in preterm infants
Retinopathy of prematurity (ROP) is a disease that can cause blindness in premature infants.
It is characterized by immature vascular growth of the retinal blood vessels. However, early …
It is characterized by immature vascular growth of the retinal blood vessels. However, early …
From data to deployment: the collaborative community on ophthalmic imaging roadmap for artificial intelligence in age-related macular degeneration
Objective Health care systems worldwide are challenged to provide adequate care for the
200 million individuals with age-related macular degeneration (AMD). Artificial intelligence …
200 million individuals with age-related macular degeneration (AMD). Artificial intelligence …
Implementation of deep learning artificial intelligence in vision-threatening disease screenings for an underserved community during COVID-19
A Zhu, P Tailor, R Verma, I Zhang… - Journal of …, 2023 - journals.sagepub.com
Introduction Age-related macular degeneration, diabetic retinopathy, and glaucoma are
vision-threatening diseases that are leading causes of vision loss. Many studies have …
vision-threatening diseases that are leading causes of vision loss. Many studies have …
Generalizing across domains in diabetic retinopathy via variational autoencoders
S Chokuwa, MH Khan - … Conference on Medical Image Computing and …, 2023 - Springer
Abstract Domain generalization for Diabetic Retinopathy (DR) classification allows a model
to adeptly classify retinal images from previously unseen domains with various imaging …
to adeptly classify retinal images from previously unseen domains with various imaging …
ScLNet: A cornea with scleral lens OCT layers segmentation dataset and new multi-task model
Y Cao, X le Yu, H Yao, Y Jin, K Lin, C Shi, H Cheng… - Heliyon, 2024 - cell.com
Objective To develop deep learning methods with high accuracy for segmenting irregular
corneas and detecting the tear fluid reservoir (TFR) boundary under the scleral lens …
corneas and detecting the tear fluid reservoir (TFR) boundary under the scleral lens …