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Hidden stratification causes clinically meaningful failures in machine learning for medical imaging

, , , and . Proceedings of the ACM conference on health, inference, and learning, page 151--159. (2020)

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Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging., , , and . CoRR, (2019)CRISTAL: Adapting Workplace Training to the Real World Context with an Intelligent Simulator for Radiology Trainees., , , , , and . ITS, volume 9684 of Lecture Notes in Computer Science, page 430-435. Springer, (2016)Producing radiologist-quality reports for interpretable artificial intelligence., , , , and . CoRR, (2018)Intelligent Augmented Reality Tutoring for Physical Tasks with Medical Professionals., , , and . AIED, volume 10331 of Lecture Notes in Computer Science, page 450-454. Springer, (2017)Towards generative adversarial networks as a new paradigm for radiology education., , , and . CoRR, (2018)Exploring large scale public medical image datasets.. CoRR, (2019)Hidden stratification causes clinically meaningful failures in machine learning for medical imaging, , , and . Proceedings of the ACM conference on health, inference, and learning, page 151--159. (2020)Detecting hip fractures with radiologist-level performance using deep neural networks., , , , and . CoRR, (2017)Hidden stratification causes clinically meaningful failures in machine learning for medical imaging., , , and . CHIL, page 151-159. ACM, (2020)Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables., , , , , , , , , and . CoRR, (2018)