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07/21/2021
Reading Race: AI Recognises Patient's Racial Identity In Medical Images
Background: In medical imaging, prior studies have demonstrated disparat...
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09/23/2020
Docs are ROCs: A simple off-the-shelf approach for estimating average human performance in diagnostic studies
Estimating average human performance has been performed inconsistently i...
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09/27/2019
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging
Machine learning models for medical image analysis often suffer from poo...
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07/30/2019
Exploring large scale public medical image datasets
Rationale and Objectives: Medical artificial intelligence systems are de...
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12/04/2018
Towards generative adversarial networks as a new paradigm for radiology education
Medical students and radiology trainees typically view thousands of imag...
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11/08/2018
Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables
Hip fractures are a leading cause of death and disability among older ad...
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06/01/2018
Producing radiologist-quality reports for interpretable artificial intelligence
Current approaches to explaining the decisions of deep learning systems ...
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11/17/2017
Detecting hip fractures with radiologist-level performance using deep neural networks
We developed an automated deep learning system to detect hip fractures f...
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07/01/2016