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

Sounderajah, Viknesh, Ashrafian, Hutan, Aggarwal, Ravi, De Fauw, Jeffrey, Denniston, Alastair K, Greaves, Felix, Karthikesalingam, Alan, King, Dominic, Liu, Xiaoxuan, Markar, Sheraz R, McInnes, Matthew D F, Panch, Trishan, Pearson-Stuttard, Jonathan, Ting, Daniel S W, Golub, Robert M, Moher, David, Bossuyt, Patrick M and Darzi, Ara (2020) Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group. Nature medicine. ISSN 1546-170X. This article is available to all UHB staff and students via ASK Discovery tool http://tinyurl.com/z795c8c by using their UHB Athens login IDs

Full text not available from this repository.
Official URL: https://www.nature.com/nm/
Item Type: Article
Additional Information: This article is available to all UHB staff and students via ASK Discovery tool http://tinyurl.com/z795c8c by using their UHB Athens login IDs
Subjects: QZ Pathology. Oncology
W Public health. Health statistics. Occupational health. Health education
WC Communicabable diseases
WN Medical imaging. Radiology
Divisions: Ambulatory Care > Outpatients
Related URLs:
Depositing User: Jamie Edgar
Date Deposited: 17 Jun 2020 10:09
Last Modified: 17 Jun 2020 10:09
URI: http://www.repository.uhblibrary.co.uk/id/eprint/3172

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