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   title={ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases},
   ISBN={9781538604571},
   url={http://dx.doi.org/10.1109/CVPR.2017.369},
   DOI={10.1109/cvpr.2017.369},
   journal={2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
   publisher={IEEE},
   author={Wang, Xiaosong and Peng, Yifan and Lu, Le and Lu, Zhiyong and Bagheri, Mohammadhadi and Summers, Ronald M.},
   year={2017},
   month={Jul}
}

@article{rajpurkar2020chexpedition,
  title={CheXpedition: investigating generalization challenges for translation of chest x-ray algorithms to the clinical setting},
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  journal={arXiv preprint arXiv:2002.11379},
  year={2020}
}


@misc{johnson2019mimiccxrjpg,
      title={MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs}, 
      author={Alistair E. W. Johnson and Tom J. Pollard and Nathaniel R. Greenbaum and Matthew P. Lungren and Chih-ying Deng and Yifan Peng and Zhiyong Lu and Roger G. Mark and Seth J. Berkowitz and Steven Horng},
      year={2019},
      eprint={1901.07042},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

@article{dutta_global_2019,
	title = {The Global Innovation Index 2019: Creating healthy lives-The future of medical innovation},
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	author = {Dutta, S and Lanvin, B and Wunsch-Vincent, S},
	year = {2019}
}

@misc{mozannar2021consistent,
      title={Consistent Estimators for Learning to Defer to an Expert}, 
      author={Hussein Mozannar and David Sontag},
      year={2021},
      eprint={2006.01862},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

@book{joarder_chest_2009,
	title = {Chest X-ray in clinical practice},
	isbn = {1-84882-099-2},
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	title = {Sternal fractures and their management},
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	date = {2013},
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	volume = {37},
	issn = {0271-5333},
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	date = {2017},
	note = {Publisher: Radiological Society of North America}
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@article{zhu_multi-label_2018,
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@article{cao_benchmark_2020,
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@article{martensson_reliability_2020,
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	year = {2020},
	note = {Publisher: Elsevier}
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@inproceedings{irvin_chexpert_2019,
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	volume = {33},
	isbn = {2374-3468},
	eventtitle = {Proceedings of the {AAAI} Conference on Artificial Intelligence},
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	year = {2019}
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@article{majkowska_chest_2020,
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	number = {2},
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@online{bai_artificial_2019,
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	abstract = {Tens of thousands of Americans suffer pneumothorax each year, a potentially life-threatening condition that is sometimes overlooked in busy emergency rooms.},
	titleaddon = {{UC} San Francisco},
	author = {Bai, Nina},
	urldate = {2020-12-15},
	date = {2019-09-12},
	year = {2019},
	organization = {UCSF},
	langid = {english},
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	year = {2019},
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	year = {2018}
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	title = {Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification},
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@misc{yu2020gradient,
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      year={2020},
      eprint={2001.06782},
      archivePrefix={arXiv},
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	year = {2019}
}

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