eprintid: 10174074 rev_number: 10 eprint_status: archive userid: 699 dir: disk0/10/17/40/74 datestamp: 2023-07-26 14:09:52 lastmod: 2024-10-11 14:08:31 status_changed: 2023-07-26 14:09:52 type: article metadata_visibility: show sword_depositor: 699 creators_name: The DECIDE-AI Steering Group, title: DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence ispublished: pub subjects: MOOR divisions: UCL divisions: B02 divisions: C07 divisions: C10 divisions: D08 divisions: D16 divisions: G88 keywords: Clinical trials, Publication characteristics, Translational research abstract: As an increasing number of clinical decision-support systems driven by artificial intelligence progress from development to implementation, better guidance on the reporting of human factors and early-stage clinical evaluation is needed. date: 2021-02 date_type: published publisher: Nature Publishing Group official_url: https://doi.org/10.1038/s41591-021-01229-5 oa_status: green full_text_type: other language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 1957273 doi: 10.1038/s41591-021-01229-5 medium: Print pii: 10.1038/s41591-021-01229-5 lyricists_name: Denniston, Alastair lyricists_name: Lovat, Laurence lyricists_id: ADENN30 lyricists_id: LBLOV52 actors_name: Flynn, Bernadette actors_id: BFFLY94 actors_role: owner funding_acknowledgements: MC_PC_19005 [Medical Research Council] full_text_status: public publication: Nature Medicine volume: 27 number: 2 pagerange: 186-187 pages: 2 event_location: United States issn: 1078-8956 citation: The DECIDE-AI Steering Group; (2021) DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence. Nature Medicine , 27 (2) pp. 186-187. 10.1038/s41591-021-01229-5 <https://doi.org/10.1038/s41591-021-01229-5>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10174074/2/Denniston_Vasey-et-al-2021-DECIDE-AI.pdf