%0 Generic %1 varoquaux2021failed %A Varoquaux, Gaël %A Cheplygina, Veronika %D 2021 %K machine-learinng %T How I failed machine learning in medical imaging -- shortcomings and recommendations %U http://arxiv.org/abs/2103.10292 %X Medical imaging is an important research field with many opportunities for improving patients' health. However, there are a number of challenges that are slowing down the progress of the field as a whole, such optimizing for publication. In this paper we reviewed several problems related to choosing datasets, methods, evaluation metrics, and publication strategies. With a review of literature and our own analysis, we show that at every step, potential biases can creep in. On a positive note, we also see that initiatives to counteract these problems are already being started. Finally we provide a broad range of recommendations on how to further these address problems in the future. For reproducibility, data and code for our analyses are available on https://github.com/GaelVaroquaux/ml_med_imaging_failures

@misc{varoquaux2021failed, abstract = {Medical imaging is an important research field with many opportunities for improving patients' health. However, there are a number of challenges that are slowing down the progress of the field as a whole, such optimizing for publication. In this paper we reviewed several problems related to choosing datasets, methods, evaluation metrics, and publication strategies. With a review of literature and our own analysis, we show that at every step, potential biases can creep in. On a positive note, we also see that initiatives to counteract these problems are already being started. Finally we provide a broad range of recommendations on how to further these address problems in the future. For reproducibility, data and code for our analyses are available on \url{https://github.com/GaelVaroquaux/ml_med_imaging_failures}}, added-at = {2021-08-25T01:03:59.000+0200}, author = {Varoquaux, Gaël and Cheplygina, Veronika}, biburl = {https://www.bibsonomy.org/bibtex/20a2ba6c7735193ee466d71b674b81e8b/stdiff}, description = {How I failed machine learning in medical imaging -- shortcomings and recommendations}, interhash = {1b08b3a1bab672e27c9b32783f42246b}, intrahash = {0a2ba6c7735193ee466d71b674b81e8b}, keywords = {machine-learinng}, note = {cite arxiv:2103.10292}, timestamp = {2021-08-25T01:03:59.000+0200}, title = {How I failed machine learning in medical imaging -- shortcomings and recommendations}, url = {http://arxiv.org/abs/2103.10292}, year = 2021 }