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CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT., , , , , and . CoRR, (2020)Malaria Likelihood Prediction By Effectively Surveying Households Using Deep Reinforcement Learning., , and . CoRR, (2017)Autonomous AI systems in the face of liability, regulations and costs., , , , and . npj Digit. Medicine, (2023)Impact of a deep learning assistant on the histopathologic classification of liver cancer., , , , , , , , , and 11 other author(s). npj Digit. Medicine, (2020)Automated abnormality detection in lower extremity radiographs using deep learning., , , , , , , , , and 2 other author(s). Nat. Mach. Intell., 1 (12): 578-583 (2019)RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction., , , , , , and . CoRR, (2023)Deep learning for medical image interpretation.. Stanford University, USA, (2021)An Empirical Evaluation of Deep Learning on Highway Driving., , , , , , , , , and 3 other author(s). CoRR, (2015)Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine., , , , , , and . CoRR, (2023)Learning Generalized Medical Image Representations Through Image-Graph Contrastive Pretraining., , , and . ML4H@NeurIPS, volume 225 of Proceedings of Machine Learning Research, page 232-243. PMLR, (2023)