Literature DB >> 28630237

Facilitating Prospective Registration of Diagnostic Accuracy Studies: A STARD Initiative.

Daniël A Korevaar1, Lotty Hooft2, Lisa M Askie3, Virginia Barbour4, Hélène Faure5, Constantine A Gatsonis6, Kylie E Hunter7, Herbert Y Kressel8, Hannah Lippman5, Matthew D F McInnes9, David Moher10, Nader Rifai11, Jérémie F Cohen12, Patrick M M Bossuyt13.   

Abstract

Mesh：

Year:  2017        PMID： 28630237     DOI： 10.1373/clinchem.2017.272765

Source DB:  PubMed          Journal:  Clin Chem        ISSN： 0009-9147            Impact factor:   8.327


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  8 in total

Review 1.  Designing deep learning studies in cancer diagnostics.

Authors:  Andreas Kleppe; Ole-Johan Skrede; Sepp De Raedt; Knut Liestøl; David J Kerr; Håvard E Danielsen
Journal:  Nat Rev Cancer       Date:  2021-01-29       Impact factor: 60.716

2.  Publication bias in diagnostic imaging: conference abstracts with positive conclusions are more likely to be published.

Authors:  Lee Treanor; Robert A Frank; Lindsay A Cherpak; Ana Dehmoobad Sharifabadi; Jean-Paul Salameh; Zachary Hallgrimson; Nicholas Fabiano; Trevor A McGrath; Noemie Kraaijpoel; Jason Yao; Daniel A Korevaar; Patrick M Bossuyt; Matthew D F McInnes
Journal:  Eur Radiol       Date:  2020-01-17       Impact factor: 5.315

Review 3.  Connecting Technological Innovation in Artificial Intelligence to Real-world Medical Practice through Rigorous Clinical Validation: What Peer-reviewed Medical Journals Could Do.

Authors:  Seong Ho Park; Herbert Y Kressel
Journal:  J Korean Med Sci       Date:  2018-04-27       Impact factor: 2.153

4.  Searching practices and inclusion of unpublished studies in systematic reviews of diagnostic accuracy.

Authors:  Daniël A Korevaar; Jean-Paul Salameh; Yasaman Vali; Jérémie F Cohen; Matthew D F McInnes; René Spijker; Patrick M Bossuyt
Journal:  Res Synth Methods       Date:  2020-02-05       Impact factor: 5.273

5.  A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies.

Authors:  Livia Faes; Xiaoxuan Liu; Siegfried K Wagner; Dun Jack Fu; Konstantinos Balaskas; Dawn A Sim; Lucas M Bachmann; Pearse A Keane; Alastair K Denniston
Journal:  Transl Vis Sci Technol       Date:  2020-02-12       Impact factor: 3.283

6.  Design Characteristics of Studies Reporting the Performance of Artificial Intelligence Algorithms for Diagnostic Analysis of Medical Images: Results from Recently Published Papers.

Authors:  Dong Wook Kim; Hye Young Jang; Kyung Won Kim; Youngbin Shin; Seong Ho Park
Journal:  Korean J Radiol       Date:  2019-03       Impact factor: 3.500

7.  PRISMA-DTA for Abstracts: a new addition to the toolbox for test accuracy research.

Authors:  Daniël A Korevaar; Patrick M Bossuyt; Matthew D F McInnes; Jérémie F Cohen
Journal:  Diagn Progn Res       Date:  2021-04-02

8.  Reporting of Artificial Intelligence Diagnostic Accuracy Studies in Pathology Abstracts: Compliance with STARD for Abstracts Guidelines.

Authors:  Clare McGenity; Patrick Bossuyt; Darren Treanor
Journal:  J Pathol Inform       Date:  2022-02-18
  8 in total

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