Literature DB >> 32514173

Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group.

Viknesh Sounderajah1,2, Hutan Ashrafian3,4, Ravi Aggarwal1,2, Jeffrey De Fauw5, Alastair K Denniston6,7,8, Felix Greaves9, Alan Karthikesalingam1,2, Dominic King1,2, Xiaoxuan Liu6,7,8, Sheraz R Markar2, Matthew D F McInnes10,11, Trishan Panch12, Jonathan Pearson-Stuttard13, Daniel S W Ting14, Robert M Golub15, David Moher16, Patrick M Bossuyt17, Ara Darzi1,2.   

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Year:  2020        PMID: 32514173     DOI: 10.1038/s41591-020-0941-1

Source DB:  PubMed          Journal:  Nat Med        ISSN: 1078-8956            Impact factor:   53.440


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  1 in total

1.  Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers-From the Radiology Editorial Board.

Authors:  David A Bluemke; Linda Moy; Miriam A Bredella; Birgit B Ertl-Wagner; Kathryn J Fowler; Vicky J Goh; Elkan F Halpern; Christopher P Hess; Mark L Schiebler; Clifford R Weiss
Journal:  Radiology       Date:  2019-12-31       Impact factor: 11.105

  1 in total
  48 in total

1.  Guidance for Interventional Trials Involving Artificial Intelligence.

Authors:  Hugh Harvey; Luke Oakden-Rayner
Journal:  Radiol Artif Intell       Date:  2020-11-25

Review 2.  Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.

Authors:  Baptiste Vasey; Myura Nagendran; Bruce Campbell; David A Clifton; Gary S Collins; Spiros Denaxas; Alastair K Denniston; Livia Faes; Bart Geerts; Mudathir Ibrahim; Xiaoxuan Liu; Bilal A Mateen; Piyush Mathur; Melissa D McCradden; Lauren Morgan; Johan Ordish; Campbell Rogers; Suchi Saria; Daniel S W Ting; Peter Watkinson; Wim Weber; Peter Wheatstone; Peter McCulloch
Journal:  Nat Med       Date:  2022-05-18       Impact factor: 87.241

3.  Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.

Authors:  Baptiste Vasey; Myura Nagendran; Bruce Campbell; David A Clifton; Gary S Collins; Spiros Denaxas; Alastair K Denniston; Livia Faes; Bart Geerts; Mudathir Ibrahim; Xiaoxuan Liu; Bilal A Mateen; Piyush Mathur; Melissa D McCradden; Lauren Morgan; Johan Ordish; Campbell Rogers; Suchi Saria; Daniel S W Ting; Peter Watkinson; Wim Weber; Peter Wheatstone; Peter McCulloch
Journal:  BMJ       Date:  2022-05-18

4.  Artificial Intelligence in Fracture Detection: A Systematic Review and Meta-Analysis.

Authors:  Rachel Y L Kuo; Conrad Harrison; Terry-Ann Curran; Benjamin Jones; Alexander Freethy; David Cussons; Max Stewart; Gary S Collins; Dominic Furniss
Journal:  Radiology       Date:  2022-03-29       Impact factor: 29.146

5.  Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records.

Authors:  Christopher Nielson; Martin G Seneviratne; Joseph R Ledsam; Shakir Mohamed; Nenad Tomašev; Natalie Harris; Sebastien Baur; Anne Mottram; Xavier Glorot; Jack W Rae; Michal Zielinski; Harry Askham; Andre Saraiva; Valerio Magliulo; Clemens Meyer; Suman Ravuri; Ivan Protsyuk; Alistair Connell; Cían O Hughes; Alan Karthikesalingam; Julien Cornebise; Hugh Montgomery; Geraint Rees; Chris Laing; Clifton R Baker; Thomas F Osborne; Ruth Reeves; Demis Hassabis; Dominic King; Mustafa Suleyman; Trevor Back
Journal:  Nat Protoc       Date:  2021-05-05       Impact factor: 13.491

Review 6.  Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension.

Authors:  Xiaoxuan Liu; Samantha Cruz Rivera; David Moher; Melanie J Calvert; Alastair K Denniston
Journal:  Lancet Digit Health       Date:  2020-09-09

7.  Reporting Guidelines for Artificial Intelligence in Medical Research.

Authors:  J Peter Campbell; Aaron Y Lee; Michael Abràmoff; Pearse A Keane; Daniel S W Ting; Flora Lum; Michael F Chiang
Journal:  Ophthalmology       Date:  2020-09-10       Impact factor: 12.079

8.  Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol.

Authors:  Viknesh Sounderajah; Hutan Ashrafian; Robert M Golub; Shravya Shetty; Jeffrey De Fauw; Lotty Hooft; Karel Moons; Gary Collins; David Moher; Patrick M Bossuyt; Ara Darzi; Alan Karthikesalingam; Alastair K Denniston; Bilal Akhter Mateen; Daniel Ting; Darren Treanor; Dominic King; Felix Greaves; Jonathan Godwin; Jonathan Pearson-Stuttard; Leanne Harling; Matthew McInnes; Nader Rifai; Nenad Tomasev; Pasha Normahani; Penny Whiting; Ravi Aggarwal; Sebastian Vollmer; Sheraz R Markar; Trishan Panch; Xiaoxuan Liu
Journal:  BMJ Open       Date:  2021-06-28       Impact factor: 2.692

Review 9.  Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension.

Authors:  Samantha Cruz Rivera; Xiaoxuan Liu; An-Wen Chan; Alastair K Denniston; Melanie J Calvert
Journal:  Lancet Digit Health       Date:  2020-09-09

10.  Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence.

Authors:  Gary S Collins; Karel Gm Moons; Paula Dhiman; Constanza L Andaur Navarro; Jie Ma; Lotty Hooft; Johannes B Reitsma; Patricia Logullo; Andrew L Beam; Lily Peng; Ben Van Calster; Maarten van Smeden; Richard D Riley
Journal:  BMJ Open       Date:  2021-07-09       Impact factor: 2.692

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