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
∙
05/09/2023
Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning
Cardiovascular diseases (CVDs) are responsible for a large proportion of...
research
∙
12/26/2022
Large Language Models Encode Clinical Knowledge
Large language models (LLMs) have demonstrated impressive capabilities i...
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
∙
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...
research
∙
04/08/2021
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions
We develop and rigorously evaluate a deep learning based system that can...
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
∙
11/17/2020
Interpretable Survival Prediction for Colorectal Cancer using Deep Learning
Deriving interpretable prognostic features from deep-learning-based prog...
research
∙
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...
research
∙
08/10/2020
Predicting Risk of Developing Diabetic Retinopathy using Deep Learning
Diabetic retinopathy (DR) screening is instrumental in preventing blindn...
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
∙
02/08/2019
Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making
Machine learning (ML) is increasingly being used in image retrieval syst...
research
∙
01/30/2019
Similar Image Search for Histopathology: SMILY
The increasing availability of large institutional and public histopatho...
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
∙
11/21/2018
Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration
The brightfield microscope is instrumental in the visual examination of ...
research
∙
11/15/2018
Development and Validation of a Deep Learning Algorithm for Improving Gleason Scoring of Prostate Cancer
For prostate cancer patients, the Gleason score is one of the most impor...
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
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...
research
∙
03/03/2017
Detecting Cancer Metastases on Gigapixel Pathology Images
Each year, the treatment decisions for more than 230,000 breast cancer p...
research
∙
03/14/2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
TensorFlow is an interface for expressing machine learning algorithms, a...
research
∙
12/29/2011