Hanrahan, John Gerrard;
Khan, Danyal Zaman;
Marcus, Hani J;
(2022)
Addressing the reporting chasm of artificial intelligence research: the DECIDE-AI reporting guidelines.
BMJ Surgery, Interventions, & Health Technologies
, 4
(1)
, Article e000154. 10.1136/bmjsit-2022-000154.
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| Type: | Article |
|---|---|
| Title: | Addressing the reporting chasm of artificial intelligence research: the DECIDE-AI reporting guidelines |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1136/bmjsit-2022-000154 |
| Publisher version: | https://doi.org/10.1136/bmjsit-2022-000154 |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
| UCL classification: | UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Department of Neuromuscular Diseases |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10153151 |
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