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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...
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05/19/2022
Robust and Efficient Medical Imaging with Self-Supervision
Recent progress in Medical Artificial Intelligence (AI) has delivered sy...
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03/18/2022
AI system for fetal ultrasound in low-resource settings
Despite considerable progress in maternal healthcare, maternal and perin...
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05/16/2021
Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries
Tuberculosis (TB) is a top-10 cause of death worldwide. Though the WHO r...
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11/23/2020
Detecting hidden signs of diabetes in external eye photographs
Diabetes-related retinal conditions can be detected by examining the pos...
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10/22/2020
Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases
Chest radiography (CXR) is the most widely-used thoracic clinical imagin...
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08/10/2020
Predicting Risk of Developing Diabetic Retinopathy using Deep Learning
Diabetic retinopathy (DR) screening is instrumental in preventing blindn...
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07/10/2020
Scientific Discovery by Generating Counterfactuals using Image Translation
Model explanation techniques play a critical role in understanding the s...
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04/12/2019
Detecting Anemia from Retinal Fundus Images
Despite its high prevalence, anemia is often undetected due to the invas...
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04/10/2019
Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning
Background: Patients with neovascular age-related macular degeneration (...
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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...
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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...
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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 (...
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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 ...
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10/04/2017
Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy
Diabetic retinopathy (DR) and diabetic macular edema are common complica...
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03/03/2017