Cardiology | Machine Learning | Ophthalmology Prediction of cardiovascular risk factors from retinal fundus photographs: Validation of a deep learning algorithm in a prospective non-interventional study in Kenya. April 15, 2024
Ophthalmology | Radiology Using generative AI to investigate medical imagery models and datasets. April 2, 2024
Clinical Epidemiology | Health Data Analysis | Internal Medicine | Machine Learning in Medicine | Medical Imaging Introduction to supervised machine learning in clinical epidemiology. March 20, 2024
Nephrology | Ophthalmology Performance of deep learning for detection of chronic kidney disease from retinal fundus photographs: A systematic review and meta-analysis. September 6, 2023
Cardiology | Ophthalmology Eyes as the windows into cardiovascular disease in the era of big data. July 24, 2023
Cardiology | Ophthalmology Using Artificial Intelligence to Analyse the Retinal Vascular Network: The Future of Cardiovascular Risk Assessment Based on Oculomics? A Narrative Review. December 23, 2022
Artificial Intelligence | Internal Medicine | Ophthalmology Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging. June 16, 2022
Endocrinology | General Medicine | Ophthalmology Detection of signs of disease in external photographs of the eyes via deep learning. March 30, 2022
Ophthalmology Deep learning algorithms for detection of diabetic retinopathy in retinal fundus photographs: A systematic review and meta-analysis. February 23, 2020
Ophthalmology Automatic Detection of Diabetic Retinopathy in Retinal Fundus Photographs Based on Deep Learning Algorithm. November 18, 2019
Cardiology | Ophthalmology Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning. April 24, 2019
Ophthalmology Structure-Preserving Guided Retinal Image Filtering and Its Application for Optic Disk Analysis. April 2, 2019