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

INTRODUCTION: Standards for Reporting of Diagnostic Accuracy Study (STARD) was developed to improve the completeness and transparency of reporting in studies investigating diagnostic test accuracy. However, its current form, STARD 2015 does not address the issues and challenges raised by artificial...

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Detalles Bibliográficos
Autores principales: Sounderajah, Viknesh, Ashrafian, Hutan, Golub, Robert M, Shetty, Shravya, De Fauw, Jeffrey, Hooft, Lotty, Moons, Karel, Collins, Gary, Moher, David, Bossuyt, Patrick M, Darzi, Ara, Karthikesalingam, Alan, Denniston, Alastair K, Mateen, Bilal Akhter, Ting, Daniel, Treanor, Darren, King, Dominic, Greaves, Felix, Godwin, Jonathan, Pearson-Stuttard, Jonathan, Harling, Leanne, McInnes, Matthew, Rifai, Nader, Tomasev, Nenad, Normahani, Pasha, Whiting, Penny, Aggarwal, Ravi, Vollmer, Sebastian, Markar, Sheraz R, Panch, Trishan, Liu, Xiaoxuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Health Informatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240576/
https://www.ncbi.nlm.nih.gov/pubmed/34183345
http://dx.doi.org/10.1136/bmjopen-2020-047709

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240576/
https://www.ncbi.nlm.nih.gov/pubmed/34183345
http://dx.doi.org/10.1136/bmjopen-2020-047709

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