Transparency and reproducibility in artificial intelligence

被引：0

作者：

Benjamin Haibe-Kains

George Alexandru Adam

Ahmed Hosny

Farnoosh Khodakarami

Levi Waldron

Bo Wang

Chris McIntosh

Anna Goldenberg

Anshul Kundaje

Casey S. Greene

Tamara Broderick

Michael M. Hoffman

Jeffrey T. Leek

Keegan Korthauer

Wolfgang Huber

Alvis Brazma

Joelle Pineau

Robert Tibshirani

Trevor Hastie

John P. A. Ioannidis

John Quackenbush

Hugo J. W. L. Aerts

机构：

[1] University Health Network,Princess Margaret Cancer Centre

[2] University of Toronto,Department of Medical Biophysics

[3] University of Toronto,Department of Computer Science

[4] Ontario Institute for Cancer Research,Artificial Intelligence in Medicine (AIM) Program

[5] Vector Institute for Artificial Intelligence,Radiation Oncology and Radiology, Dana

[6] Brigham and Women’s Hospital,Farber Cancer Institute

[7] Harvard Medical School,Department of Epidemiology and Biostatistics and Institute for Implementation Science in Population Health

[8] Brigham and Women’s Hospital,Peter Munk Cardiac Centre

[9] Harvard Medical School,Department of Laboratory Medicine and Pathobiology

[10] CUNY Graduate School of Public Health and Health Policy,Child and Brain Development Program

[11] University Health Network,Department of Genetics

[12] University of Toronto,Department of Computer Science

[13] SickKids Research Institute,Dept. of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine

[14] CIFAR,Childhood Cancer Data Lab

[15] Stanford University School of Medicine,Department of Electrical Engineering and Computer Science

[16] Stanford University,Department of Biostatistics

[17] University of Pennsylvania,Department of Statistics

[18] Alex’s Lemonade Stand Foundation,European Molecular Biology Laboratory

[19] Massachusetts Institute of Technology,European Molecular Biology Laboratory

[20] Johns Hopkins Bloomberg School of Public Health,Department of Statistics

[21] University of British Columbia,Department of Biomedical Data Science

[22] BC Children’s Hospital Research Institute,Department of Medicine

[23] Genome Biology Unit,Department of Epidemiology and Population Health

[24] European Bioinformatics Institute,Department of Biostatistics

[25] EMBL-EBI,Channing Division of Network Medicine

[26] McGill University,Department of Data Science

[27] Montreal Institute for Learning Algorithms,Radiology and Nuclear Medicine

[28] Stanford University School of Humanities and Sciences,Cardiovascular Imaging Research Center

[29] Stanford University School of Medicine,National Center for Toxicological Research

[30] Stanford University School of Medicine,Engineering Science Department, Oxford e

[31] Meta-Research Innovation Center at Stanford (METRICS),Research Centre

[32] Stanford University School of Medicine,undefined

[33] Harvard T.H Chan School of Public Health,undefined

[34] Brigham and Women’s Hospital,undefined

[35] Dana-Farber Cancer Institute,undefined

[36] Maastricht University,undefined

[37] Massachusetts General Hospital,undefined

[38] Harvard Medical School,undefined

[39] US Food and Drug Administration,undefined

[40] Immuneering Corporation,undefined

[41] University of Oxford,undefined

[42] SAS Institute Inc,undefined

[43] Weill Cornell Medicine,undefined

[44] Q2 Solutions,undefined

[45] Hospital Virgen del Rocio,undefined

[46] Fondazione Bruno Kessler,undefined

来源：

Nature | 2020年 / 586卷

关键词：

D O I：

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中图分类号：

学科分类号：

摘要：

引用

页码：E14 / E16

共 50 条

[1] Transparency and reproducibility in artificial intelligence
Haibe-Kains, Benjamin
Adam, George Alexandru
Hosny, Ahmed
Khodakarami, Farnoosh
Shraddha, Thakkar
Kusko, Rebecca
Sansone, Susanna-Assunta
Tong, Weida
Wolfinger, Russ D.
Mason, Christopher E.
Jones, Wendell
Dopazo, Joaquin
Furlanello, Cesare
Waldron, Levi
Wang, Bo
McIntosh, Chris
Goldenberg, Anna
Kundaje, Anshul
Greene, Casey S.
Broderick, Tamara
Hoffman, Michael M.
Leek, Jeffrey T.
Korthauer, Keegan
Huber, Wolfgang
Brazma, Alvis
Pineau, Joelle
Tibshirani, Robert
Hastie, Trevor
Ioannidis, John P. A.
Quackenbush, John
Aerts, Hugo J. W. L.
[J]. NATURE, 2020, 586 (7829) : E14 - U7
[2] Reply to: Transparency and reproducibility in artificial intelligence
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