@article{ghassemi2019practical,
  title={Practical guidance on artificial intelligence for health-care data},
  author={Ghassemi, Marzyeh and Naumann, Tristan and Schulam, Peter and Beam, Andrew L and Chen, Irene Y and Ranganath, Rajesh},
  journal={The Lancet Digital Health},
  volume={1},
  number={4},
  pages={e157--e159},
  year={2019},
  abstract={Advances in machine learning and artificial intelligence
(AI) offer the potential to provide personalised care that
is equal to or better than the performance of humans for
several health-care tasks.
 AI models are often powered
by clinical data that are generated and managed via
the medical system, for which the primary purpose of
data collection is to support care, rather than facilitate
subsequent analysis. Thus, the direct application of
AI approaches to health care is associated with both
challenges and opportunities},
  url_Paper={https://www.dropbox.com/s/2scin4mdeprmzbq/ghassemi_lancet_digitalhealth_2019.pdf?dl=1},
  publisher={Elsevier},
  keywords={Reviews, Healthcare}
}

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