AI at work: understanding its uses and consequences on work activities and organization in radiology

Author:

Gamkrelidze TamariORCID,Zouinar MoustafaORCID,Barcellini Flore

Funder

industrial research training agreement between Orange and CNAM

Publisher

Springer Science and Business Media LLC

Reference102 articles.

1. Al-Aiad A, Momani AK, Alnsour Y, Alsharo M (2020) The impact of speech recognition systems on the productivity and the workflow in radiology departments: a systematic review. AMCIS 2020 TREOs

2. Alapetite A, Boje Andersen H, Hertzum M (2009) Acceptance of speech recognition by physicians: a survey of expectations, experiences, and social influence. Int J Hum Comput Stud 67:36–49. https://doi.org/10.1016/j.ijhcs.2008.08.004

3. Anichini G, Geffroy B (2021) L’intelligence artificielle à l’épreuve des savoirs tacites. Analyse des pratiques d’utilisation d’un outil d’aide à la détection en radiologie. Sci Soc Sante 39:43–69

4. Arntz M, Gregory T, Zierahn U (2016) The risk of automation for jobs in OECD countries: a comparative analysis. OECD Soc Employ Migr Work Pap 189. https://doi.org/10.1787/5jlz9h56dvq7-en

5. Bainbridge L (1983) Ironies of automation. Automatica 19:775–779

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