Diabetic retinopathy: Looking forward to 2030
Diabetic retinopathy (DR) is the major ocular complication of diabetes mellitus, and is a
problem with significant global health impact. Major advances in diagnostics, technology …
problem with significant global health impact. Major advances in diagnostics, technology …
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 …
Integrated image-based deep learning and language models for primary diabetes care
Primary diabetes care and diabetic retinopathy (DR) screening persist as major public
health challenges due to a shortage of trained primary care physicians (PCPs), particularly …
health challenges due to a shortage of trained primary care physicians (PCPs), particularly …
A deep learning system for predicting time to progression of diabetic retinopathy
Diabetic retinopathy (DR) is the leading cause of preventable blindness worldwide. The risk
of DR progression is highly variable among different individuals, making it difficult to predict …
of DR progression is highly variable among different individuals, making it difficult to predict …
[HTML][HTML] Metaverse and virtual health care in ophthalmology: Opportunities and challenges
The outbreak of the coronavirus disease 2019 has further increased the urgent need for
digital transformation within the health care settings, with the use of artificial …
digital transformation within the health care settings, with the use of artificial …
Applications of deep learning in fundus images: A review
The use of fundus images for the early screening of eye diseases is of great clinical
importance. Due to its powerful performance, deep learning is becoming more and more …
importance. Due to its powerful performance, deep learning is becoming more and more …
[HTML][HTML] Determining if telehealth can reduce health system costs: scoping review
Background: Telehealth represents an opportunity for Australia to harness the power of
technology to redesign the way health care is delivered. The potential benefits of telehealth …
technology to redesign the way health care is delivered. The potential benefits of telehealth …
Screening for diabetic retinopathy: new perspectives and challenges
Although the prevalence of all stages of diabetic retinopathy has been declining since 1980
in populations with improved diabetes control, the crude prevalence of visual impairment …
in populations with improved diabetes control, the crude prevalence of visual impairment …
The cost-effectiveness of digital health interventions: a systematic review of the literature
Background Digital health interventions have significant potential to improve safety, efficacy,
and quality of care, reducing waste in healthcare costs. Despite these premises, the …
and quality of care, reducing waste in healthcare costs. Despite these premises, the …
Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with …
Importance A deep learning system (DLS) is a machine learning technology with potential
for screening diabetic retinopathy and related eye diseases. Objective To evaluate the …
for screening diabetic retinopathy and related eye diseases. Objective To evaluate the …