Literature DB >> 29449469

Artificial intelligence faces reproducibility crisis.

Matthew Hutson1.   

Abstract

Mesh：

Year:  2018        PMID： 29449469     DOI： 10.1126/science.359.6377.725

Source DB:  PubMed          Journal:  Science        ISSN： 0036-8075            Impact factor:   47.728


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  47 in total

1.  Why imaging data alone is not enough: AI-based integration of imaging, omics, and clinical data.

Authors:  Andreas Holzinger; Benjamin Haibe-Kains; Igor Jurisica
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-06-15       Impact factor: 9.236

Review 2.  Applications of machine learning in drug discovery and development.

Authors:  Jessica Vamathevan; Dominic Clark; Paul Czodrowski; Ian Dunham; Edgardo Ferran; George Lee; Bin Li; Anant Madabhushi; Parantu Shah; Michaela Spitzer; Shanrong Zhao
Journal:  Nat Rev Drug Discov       Date:  2019-06       Impact factor: 84.694

3.  DOME: recommendations for supervised machine learning validation in biology.

Authors:  Ian Walsh; Dmytro Fishman; Dario Garcia-Gasulla; Tiina Titma; Gianluca Pollastri; Jennifer Harrow; Fotis E Psomopoulos; Silvio C E Tosatto
Journal:  Nat Methods       Date:  2021-07-27       Impact factor: 28.547

4.  From social brains to social robots: applying neurocognitive insights to human-robot interaction.

Authors:  Emily S Cross; Ruud Hortensius; Agnieszka Wykowska
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-04-29       Impact factor: 6.237

5.  Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review.

Authors:  Seyedeh Neelufar Payrovnaziri; Zhaoyi Chen; Pablo Rengifo-Moreno; Tim Miller; Jiang Bian; Jonathan H Chen; Xiuwen Liu; Zhe He
Journal:  J Am Med Inform Assoc       Date:  2020-07-01       Impact factor: 4.497

6.  Replication across space and time must be weak in the social and environmental sciences.

Authors:  Michael F Goodchild; Wenwen Li
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-31       Impact factor: 11.205

7.  Reporting Guidelines to Increase the Reproducibility and Comparability of Research on Microplastics.

Authors:  Win Cowger; Andy M Booth; Bonnie M Hamilton; Clara Thaysen; Sebastian Primpke; Keenan Munno; Amy L Lusher; Alexandre Dehaut; Vitor P Vaz; Max Liboiron; Lisa I Devriese; Ludovic Hermabessiere; Chelsea Rochman; Samantha N Athey; Jennifer M Lynch; Hannah De Frond; Andrew Gray; Oliver A H Jones; Susanne Brander; Clare Steele; Shelly Moore; Alterra Sanchez; Holly Nel
Journal:  Appl Spectrosc       Date:  2020-06-12       Impact factor: 2.388

8.  Machine Learning to Predict Delayed Cerebral Ischemia and Outcomes in Subarachnoid Hemorrhage.

Authors:  Jude P J Savarraj; Georgene W Hergenroeder; Liang Zhu; Tiffany Chang; Soojin Park; Murad Megjhani; Farhaan S Vahidy; Zhongming Zhao; Ryan S Kitagawa; H Alex Choi
Journal:  Neurology       Date:  2020-11-12       Impact factor: 9.910

Review 9.  Bad machines corrupt good morals.

Authors:  Nils Köbis; Jean-François Bonnefon; Iyad Rahwan
Journal:  Nat Hum Behav       Date:  2021-06-03

Review 10.  Artificial intelligence in oncology: Path to implementation.

Authors:  Isaac S Chua; Michal Gaziel-Yablowitz; Zfania T Korach; Kenneth L Kehl; Nathan A Levitan; Yull E Arriaga; Gretchen P Jackson; David W Bates; Michael Hassett
Journal:  Cancer Med       Date:  2021-05-07       Impact factor: 4.452
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