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Literature DB >> 33057217

Transparency and reproducibility in artificial intelligence.

Benjamin Haibe-Kains^1,2,3,4,5, George Alexandru Adam^6,7, Ahmed Hosny^8,9, Farnoosh Khodakarami^10,11, Levi Waldron¹², Bo Wang^11,6,7,13,14, Chris McIntosh^11,7,13, Anna Goldenberg^6,7,15,16, Anshul Kundaje^17,18, Casey S Greene^19,20, Tamara Broderick²¹, Michael M Hoffman^10,11,6,7, Jeffrey T Leek²², Keegan Korthauer^23,24, Wolfgang Huber²⁵, Alvis Brazma²⁶, Joelle Pineau^27,28, Robert Tibshirani^29,30, Trevor Hastie^29,30, John P A Ioannidis^{29,30,31,32,33}, John Quackenbush^34,35,36, Hugo J W L Aerts^8,9,37,38.

Abstract

Entities: Chemical

Mesh：

Year: 2020 PMID： 33057217 PMCID： PMC8144864 DOI： 10.1038/s41586-020-2766-y

Source DB: PubMed Journal: Nature ISSN： 0028-0836 Impact factor: 69.504

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8 in total

Review 1. Exploration, Inference, and Prediction in Neuroscience and Biomedicine.

Authors: Danilo Bzdok; John P A Ioannidis
Journal: Trends Neurosci Date: 2019-02-23 Impact factor: 13.837

2. Toward unrestricted use of public genomic data.

Authors: Rudolf I Amann; Shakuntala Baichoo; Benjamin J Blencowe; Peer Bork; Mark Borodovsky; Cath Brooksbank; Patrick S G Chain; Rita R Colwell; Daniele G Daffonchio; Antoine Danchin; Victor de Lorenzo; Pieter C Dorrestein; Robert D Finn; Claire M Fraser; Jack A Gilbert; Steven J Hallam; Philip Hugenholtz; John P A Ioannidis; Janet K Jansson; Jihyun F Kim; Hans-Peter Klenk; Martin G Klotz; Rob Knight; Konstantinos T Konstantinidis; Nikos C Kyrpides; Christopher E Mason; Alice C McHardy; Folker Meyer; Christos A Ouzounis; Aristides A N Patrinos; Mircea Podar; Katherine S Pollard; Jacques Ravel; Alejandro Reyes Muñoz; Richard J Roberts; Ramon Rosselló-Móra; Susanna-Assunta Sansone; Patrick D Schloss; Lynn M Schriml; João C Setubal; Rotem Sorek; Rick L Stevens; James M Tiedje; Adrian Turjanski; Gene W Tyson; David W Ussery; George M Weinstock; Owen White; William B Whitman; Ioannis Xenarios
Journal: Science Date: 2019-01-25 Impact factor: 47.728

3. Putting oncology patients at risk.

Authors: Bob Carlson
Journal: Biotechnol Healthc Date: 2012

4. Enhancing reproducibility for computational methods.

Authors: Victoria Stodden; Marcia McNutt; David H Bailey; Ewa Deelman; Yolanda Gil; Brooks Hanson; Michael A Heroux; John P A Ioannidis; Michela Taufer
Journal: Science Date: 2016-12-09 Impact factor: 47.728

5. Artificial intelligence faces reproducibility crisis.

Authors: Matthew Hutson
Journal: Science Date: 2018-02-16 Impact factor: 47.728

6. A curated mammography data set for use in computer-aided detection and diagnosis research.

Authors: Rebecca Sawyer Lee; Francisco Gimenez; Assaf Hoogi; Kanae Kawai Miyake; Mia Gorovoy; Daniel L Rubin
Journal: Sci Data Date: 2017-12-19 Impact factor: 6.444

7. International evaluation of an AI system for breast cancer screening.

Authors: Scott Mayer McKinney; Marcin Sieniek; Varun Godbole; Jonathan Godwin; Natasha Antropova; Hutan Ashrafian; Trevor Back; Mary Chesus; Greg S Corrado; Ara Darzi; Mozziyar Etemadi; Florencia Garcia-Vicente; Fiona J Gilbert; Mark Halling-Brown; Demis Hassabis; Sunny Jansen; Alan Karthikesalingam; Christopher J Kelly; Dominic King; Joseph R Ledsam; David Melnick; Hormuz Mostofi; Lily Peng; Joshua Jay Reicher; Bernardino Romera-Paredes; Richard Sidebottom; Mustafa Suleyman; Daniel Tse; Kenneth C Young; Jeffrey De Fauw; Shravya Shetty
Journal: Nature Date: 2020-01-01 Impact factor: 49.962

8. Reproducible research practices, transparency, and open access data in the biomedical literature, 2015-2017.

Authors: Joshua D Wallach; Kevin W Boyack; John P A Ioannidis
Journal: PLoS Biol Date: 2018-11-20 Impact factor: 8.029

8 in total

31 in total

Review 1. Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation.

Authors: Dimitris Visvikis; Philippe Lambin; Kim Beuschau Mauridsen; Roland Hustinx; Michael Lassmann; Christoph Rischpler; Kuangyu Shi; Jan Pruim
Journal: Eur J Nucl Med Mol Imaging Date: 2022-07-09 Impact factor: 9.236

2. Machine Learning for Workflow Applications in Screening Mammography: Systematic Review and Meta-Analysis.

Authors: Sarah E Hickman; Ramona Woitek; Elizabeth Phuong Vi Le; Yu Ri Im; Carina Mouritsen Luxhøj; Angelica I Aviles-Rivero; Gabrielle C Baxter; James W MacKay; Fiona J Gilbert
Journal: Radiology Date: 2021-10-19 Impact factor: 11.105

Review 3. Obtaining genetics insights from deep learning via explainable artificial intelligence.

Authors: Gherman Novakovsky; Nick Dexter; Maxwell W Libbrecht; Wyeth W Wasserman; Sara Mostafavi
Journal: Nat Rev Genet Date: 2022-10-03 Impact factor: 59.581

4. Deep learning for automatic brain tumour segmentation on MRI: evaluation of recommended reporting criteria via a reproduction and replication study.

Authors: Emilia Gryska; Isabella Björkman-Burtscher; Asgeir Store Jakola; Tora Dunås; Justin Schneiderman; Rolf A Heckemann
Journal: BMJ Open Date: 2022-07-18 Impact factor: 3.006

5. Deep learning in the stock market-a systematic survey of practice, backtesting, and applications.

Authors: Kenniy Olorunnimbe; Herna Viktor
Journal: Artif Intell Rev Date: 2022-06-30 Impact factor: 9.588

6. Black Box Prediction Methods in Sports Medicine Deserve a Red Card for Reckless Practice: A Change of Tactics is Needed to Advance Athlete Care.

Authors: Garrett S Bullock; Tom Hughes; Amelia H Arundale; Patrick Ward; Gary S Collins; Stefan Kluzek
Journal: Sports Med Date: 2022-02-17 Impact factor: 11.928