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Detection of Systemic Diseases From Ocular Images Using Artificial Intelligence: A Systematic Review

Oct 17, 2022 | Asia-Pacific Journal of Ophthalmology

Asia-Pacific Journal of Ophthalmology, March 2022 Purpose Despite the huge investment in health care, there is still a lack of precise and easily accessible screening systems. With proven associations with many systemic diseases, the eye could potentially provide a...

Automatic segmentation of corneal deposits from corneal stromal dystrophy images via deep learning

Oct 24, 2022 | Computers in Biology and Medicine

Computers in Biology and Medicine, October 2021 Background Granular dystrophy is the most common stromal dystrophy. To perform automated segmentation of corneal stromal deposits, we trained and tested a deep learning (DL) algorithm from patients with corneal stromal...

Artificial intelligence using the eye as a biomarker of systemic risk

Oct 17, 2022 | AI in Ophthalmology (Book Chapter)

AI in Ophthalmology (Book Chapter), October 2021 The eye is the sole organ in the body that allows for the direct observation and imaging of the neurological and vascular systems. In recent years, researchers have harnessed the noninvasive nature of color fundus...

Gender prediction for a multiethnic population via deep learning across different retinal fundus photograph fields: retrospective cross-sectional study

Oct 24, 2022 | Journal of Medical Internet Research

Journal of Medical Internet Research, August 2021 Background Deep learning algorithms have been built for the detection of systemic and eye diseases based on fundus photographs. The retina possesses features that can be affected by gender differences, and the extent...

Deep learning algorithms for automatic detection of pterygium using anterior segment photographs from slit-lamp and hand-held cameras

Oct 24, 2022 | British Journal of Ophthalmology

British Journal of Ophthalmology, July 2021 Background/aims To evaluate the performances of deep learning (DL) algorithms for detection of presence and extent pterygium, based on colour anterior segment photographs (ASPs) taken from slit-lamp and hand-held cameras....

Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs

Oct 17, 2022 | THE LANCET Digital Health

THE LANCET Digital Health, May 2021 Background Coronary artery calcium (CAC) score is a clinically validated marker of cardiovascular disease risk. We developed and validated a novel cardiovascular risk stratification system based on deep-learning-predicted CAC from...
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