1,039
Views
2
CrossRef citations to date
0
Altmetric
Hypothesis

Flaws (and quality) in research today: can artificial intelligence intervene?

&
Pages 170-175 | Received 01 Sep 2019, Accepted 01 Mar 2020, Published online: 08 Apr 2020

References

  • Braithwaite J, Herkes J, Churruca K, Long JC, Pomare C, Boyling C, Bierbaum M, Clay-Williams R, Rapport F, Shih P, et al. 2019. Comprehensive Researcher Achievement Model (CRAM): a framework for measuring researcher achievement, impact and influence derived from a systematic literature review of metrics and models. BMJ Open. 9(3):e025320. doi:10.1136/bmjopen-2018-025320
  • Chavda J, Patel A. 2016. Measuring research impact: bibliometrics, social media, altmetrics, and the BJGP. Brit J Gen Prac. 66(642):e59–61. doi:10.3399/bjgp16X683353.
  • Cottrell EKWE, Kato E, Uhl S, Belinson S, Chang C, Hoomans T, Meltzer DO, Noorani H, Robinson KA, Motu’apuaka M, et al. 2015. Defining the benefits and challenges of stakeholder engagement in systematic reviews. Compa Eff Res. 2015(5):13–19.
  • Cyranoski D, Gilbert N, Ledford H, Nayar A, Yahia M. 2011. Education: the PhD factory. Nature. 472(7343):276–279. doi:10.1038/472276a.
  • Eysenbach G. 2011. Can Tweets predict citations? Metrics of social impact based on Twitter and correlation with traditional metrics of scientific impact. J Med Internet Res. 13(4):e123. doi:10.2196/jmir.2012.
  • Goodman S, Greenland S. 2007. Why most published research findings are false: problems in the analysis. PLoS Med. 4(4):e168.eng. doi:10.1371/journal.pmed.0040168.
  • Hamet P, Tremblay J. 2017. Artificial intelligence in medicine. Metabolism. 69S:S36–S40.
  • Haykin SS. 1999. Neural networks: a comprehensive foundation. 2nd ed. Upper Saddle River (N.J.): Prentice Hall.
  • Higgins JPTTJ, Chandler J, Cumpston M, Li T, Page MJ, Welch VA, editors. 2019. Cochrane Handbook for Systematic Reviews of Interventions version 6.0 (updated July 2019). Cochrane. www.training.cochrane.org/handbook
  • Ioannidis JP. 2005. Why most published research findings are false. PLoS Med. 2(8):e124.eng. doi:10.1371/journal.pmed.0020124.
  • Ioannidis JP. 2014. How to make more published research true. PLoS Med. 11(10):e1001747. doi:10.1371/journal.pmed.1001747.
  • Ioannidis JP, Boyack KW, Klavans R. 2014. Estimates of the continuously publishing core in the scientific workforce. PLoS One. 9(7):e101698. doi:10.1371/journal.pone.0101698.
  • Kwak N, Choi CH. 2002. Input feature selection for classification problems. IEEE Trans Neural Net Pub IEEE Neural Net Cou. 13(1):143–159. doi:10.1109/72.977291.
  • Larsen PO, von Ins M. 2010. The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index. Scientometrics. 84(3):575–603. doi:10.1007/s11192-010-0202-z.
  • Leatherdale ST. 2019. Natural experiment methodology for research: a review of how different methods can support real-world research. Int J Soc Res Methodol. 22(1):19–35. doi:10.1080/13645579.2018.1488449.
  • Levitt JM, Thelwall M. 2011. A combined bibliometric indicator to predict article impact. Inf Process Manag. 47(2):300–308. doi:10.1016/j.ipm.2010.09.005.
  • Maggio LA, Meyer HS, Artino AR Jr. 2017. Beyond citation rates: a real-time impact analysis of health professions education research using altmetrics. Acad Med. 92(10):1449–1455. doi:10.1097/ACM.0000000000001897.
  • McElreath R, Smaldino PE. 2015. Replication, communication, and the population dynamics of scientific discovery. PLoS One. 10(8):e0136088. doi:10.1371/journal.pone.0136088.
  • Monroe D. 2018. Chips for artificial intelligence. Commun ACM. 61(4):15–17. doi:10.1145/3185523.
  • Panagiotou OA, Willer CJ, Hirschhorn JN, Ioannidis JP. 2013. The power of meta-analysis in genome-wide association studies. Annu Rev Genomics Hum Genet. 14:441–465. doi:10.1146/annurev-genom-091212-153520.
  • Parisi GI, Kemker R, Part JL, Kanan C, Wermter S. 2019. Continual lifelong learning with neural networks: A review. Neural Net. 113:54–71. doi:10.1016/j.neunet.2019.01.012.
  • Setiono R, Liu H. 1997. Neural-network feature selector. IEEE Trans Neural Net Pub IEEE Neural Net Cou. 8(3):654–662. doi:10.1109/72.572104.
  • Siristatidis CS, Chrelias C, Pouliakis A, Katsimanis E, Kassanos D. 2010. Artificial neural networks in gynaecological diseases: current and potential future applications. Med Sci Mon. 16(10):RA231–236.
  • Smaldino PE, McElreath R. 2016. The natural selection of bad science. R Soc Open Sci. 3(9):160384. doi:10.1098/rsos.160384.
  • Sterne JAC, Savovic J, Page MJ, Elbers RG, Blencowe NS, Boutron I, Cates CJ, Cheng HY, Corbett MS, Eldridge SM, et al. 2019. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. 366:l4898. doi:10.1136/bmj.l4898.
  • van Diest PJ, Holzel H, Burnett D, Crocker J. 2001. Impactitis: new cures for an old disease. J Clin Pathol. 54(11):817–819. doi:10.1136/jcp.54.11.817.
  • Vogiatzi P, Pouliakis A, Siristatidis C. 2019. An artificial neural network for the prediction of assisted reproduction outcome. J Assist Reprod Genet. 36(7):1441–1448. doi:10.1007/s10815-019-01498-7.
  • Wang YX. 2016. Systemic review and meta-analysis of diagnostic imaging technologies. Quant Imaging Med Surg. 6(5):615–618. doi:10.21037/qims.2016.10.08.
  • Zeng G, Chen Y, Cui B, Yu S. 2019. Continual learning of context-dependent processing in neural networks. Nature Mac Intel. 1(8):364–372. doi:10.1038/s42256-019-0080-x.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.