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

Lotty Hooft; Karel G.M. Moons; Gary S. Collins; David Moher; Patrick M. Bossuyt; Ara Darzi; Alan Karthikesalingam; Alastair K. Denniston; Bilal A. Mateen; Daniel Shu Wei Ting; Darren Treanor; Dominic King; Felix Greaves; Jonathan Godwin; Jonathan Pearson‐Stuttard; Leanne Harling; Matthew D. F. McInnes; Nader Rifai; Nenad Tomašev; Pasha Normahani; Penny Whiting; Ravi Aggarwal; Sebastian J. Vollmer; Sheraz R. Markar; Trishan Panch; Xiaoxuan Liu; Viknesh Sounderajah; Hutan Ashrafian; Robert Golub; Shravya Shetty; Jeffrey De Fauw

doi:10.1136/bmjopen-2020-047709

Abstract

1 min read

Ethical approval has been granted by the Joint Research Compliance Office at Imperial College London (reference number: 19IC5679). A dissemination strategy will be aimed towards five groups of stakeholders: (1) academia, (2) policy, (3) guidelines and regulation, (4) industry and (5) public and non-specific stakeholders. We anticipate that dissemination will take place in Q3 of 2021.

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