A guide to deep learning in healthcare. Esteva, A., Robicquet, A., Ramsundar, B., Kuleshov, V., DePristo, M., Chou, K., Cui, C., Corrado, G., Thrun, S., & Dean, J. Nature Medicine, 25(1):24–29, Nature Publishing Group, January, 2019. Number: 1![A guide to deep learning in healthcare [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Here we present deep-learning techniques for healthcare, centering our discussion on deep learning in computer vision, natural language processing, reinforcement learning, and generalized methods. We describe how these computational techniques can impact a few key areas of medicine and explore how to build end-to-end systems. Our discussion of computer vision focuses largely on medical imaging, and we describe the application of natural language processing to domains such as electronic health record data. Similarly, reinforcement learning is discussed in the context of robotic-assisted surgery, and generalized deep-learning methods for genomics are reviewed.
@article{esteva_guide_2019,
title = {A guide to deep learning in healthcare},
volume = {25},
copyright = {2019 Springer Nature America, Inc.},
issn = {1546-170X},
url = {https://www.nature.com/articles/s41591-018-0316-z},
doi = {10.1038/s41591-018-0316-z},
abstract = {Here we present deep-learning techniques for healthcare, centering our discussion on deep learning in computer vision, natural language processing, reinforcement learning, and generalized methods. We describe how these computational techniques can impact a few key areas of medicine and explore how to build end-to-end systems. Our discussion of computer vision focuses largely on medical imaging, and we describe the application of natural language processing to domains such as electronic health record data. Similarly, reinforcement learning is discussed in the context of robotic-assisted surgery, and generalized deep-learning methods for genomics are reviewed.},
language = {en},
number = {1},
urldate = {2023-06-30},
journal = {Nature Medicine},
publisher = {Nature Publishing Group},
author = {Esteva, Andre and Robicquet, Alexandre and Ramsundar, Bharath and Kuleshov, Volodymyr and DePristo, Mark and Chou, Katherine and Cui, Claire and Corrado, Greg and Thrun, Sebastian and Dean, Jeff},
month = jan,
year = {2019},
note = {Number: 1},
keywords = {Bioinformatics, Health care, Machine learning},
pages = {24--29},
}
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