research
∙
07/05/2023
Evaluating AI systems under uncertain ground truth: a case study in dermatology
For safety, AI systems in health undergo thorough evaluations before dep...
share
research
∙
06/01/2023
Using generative AI to investigate medical imagery models and datasets
AI models have shown promise in many medical imaging tasks. However, our...
research
∙
07/19/2022
Discovering novel systemic biomarkers in photos of the external eye
External eye photos were recently shown to reveal signs of diabetic reti...
research
∙
05/19/2022
Robust and Efficient Medical Imaging with Self-Supervision
Recent progress in Medical Artificial Intelligence (AI) has delivered sy...
research
∙
11/23/2020
Detecting hidden signs of diabetes in external eye photographs
Diabetes-related retinal conditions can be detected by examining the pos...
research
∙
08/10/2020
Predicting Risk of Developing Diabetic Retinopathy using Deep Learning
Diabetic retinopathy (DR) screening is instrumental in preventing blindn...
research
∙
07/10/2020
Scientific Discovery by Generating Counterfactuals using Image Translation
Model explanation techniques play a critical role in understanding the s...
research
∙
09/11/2019
A deep learning system for differential diagnosis of skin diseases
Skin conditions affect an estimated 1.9 billion people worldwide. A shor...
research
∙
04/12/2019
Detecting Anemia from Retinal Fundus Images
Despite its high prevalence, anemia is often undetected due to the invas...
research
∙
04/10/2019
Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning
Background: Patients with neovascular age-related macular degeneration (...
research
∙
12/21/2018
Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images
Glaucoma is the leading cause of preventable, irreversible blindness wor...
research
∙
10/18/2018
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
Diabetic eye disease is one of the fastest growing causes of preventable...
research
∙
10/18/2018
Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program
Deep learning algorithms have been used to detect diabetic retinopathy (...
research
∙
12/21/2017
Deep learning for predicting refractive error from retinal fundus images
Refractive error, one of the leading cause of visual impairment, can be ...
research
∙
10/04/2017