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Artificial Intelligence in Health                       Does improving diagnostic accuracy increase AI adoption?



            Funding                                               intelligence and the European Union AI act: On the
                                                                  conflation of trustworthiness and acceptability of risk. Regul
            The project leading to this publication has received funding   Gov. 2024;18(1):3-32.
            from  the  French  government  under  the  “France  2030”      doi: 10.1111/rego.12512
            investment plan managed by the French National Research
            Agency (reference: ANR-17-EURE-0020) and from      4.   Choung H, David P, Ross A. Trust in AI and its role in the
            Excellence Initiative of Aix-Marseille University – A*MIDEX.   acceptance of AI technologies. Int J Hum Comput Interact.
            This research also received support from the French National   2023;39(9):1727-1739.
            Research Agency (GRANT ANR-20-COVR-00 and ANR-        doi: 10.1080/10447318.2022.2050543
            21-JPW2-002), as well as funding from the National Institute   5.   Nadarzynski T, Miles O, Cowie A, Ridge D. Acceptability
            of Health T32 grant (5T32MD015070-05).                of artificial intelligence (AI)-led chatbot services in
            Conflict of interest                                  healthcare: A  mixed-methods study.  Digit Health.
                                                                  2019;5:2055207619871808.
            The authors declare they have no competing interests.     doi: 10.1177/205520761987180
            Author contributions                               6.   Esmaeilzadeh P. Use of AI-based tools for healthcare
                                                                  purposes: A  survey study from consumers’ perspectives.
            Conceptualization: All authors                        BMC Med Inform Decis Mak. 2020;20:1-19.
            Formal  analysis: Bruno Ventelou, Yulin Hswen, Ismaël      doi: 10.1186/s12911-020-01191-1
               Rafaï, Antoine Lacombe
            Investigation: Bruno Ventelou, Yulin Hswen, Ismaël Rafaï,   7.   Floruss J, Vahlpahl N.  Artificial Intelligence in Healthcare:
               Antoine Lacombe                                    Acceptance of AI-based Support Systems by Healthcare
            Methodology: Thierry Blayac, Dimitri Dubois, Yulin Hswen,   Professionals. Jönköping University. Master Thesis; 2020.
               Ismael Rafai, Bruno Ventelou, Antoine Lacombe      Available from: https://www.diva-portal.org/smash/get/
            Writing–original draft: Bruno Ventelou, Yulin Hswen   diva2:1433298/fulltext01.pdf [Last accessed on 2024 Oct 11].
            Writing–review & editing: Ismaël Rafaï, Antoine Lacombe  8.   Lambert SI, Madi M, Sopka S, et al. An integrative review
                                                                  on the acceptance of artificial intelligence among healthcare
            Ethics approval and consent to participate            professionals in hospitals. NPJ Digit Med. 2023;6(1):111.
            The study protocol was reviewed and approved by the      doi: 10.1038/s41746-023-00874-z
            Ethics Committee of Aix-Marseille University (approval   9.   De Bekker‐Grob EW, Ryan M, Gerard K. Discrete choice
            number: 2022-10-20-009). Written consent was obtained   experiments in health economics: A review of the literature.
            from each of the subjects to participate in this study.  Health Econ. 2012;21(2):145-172.
            Consent for publication                               doi: 10.1002/hec.1697
                                                               10.  Szinay D, Cameron R, Naughton F, Whitty JA, Brown J,
            Written consent was obtained from each of the subjects to   Jones A. Understanding uptake of digital health products:
            publish their data and/or images.                     Methodology tutorial for a discrete choice experiment
                                                                  using the bayesian efficient design.  J  Med Internet Res.
            Availability of data                                  2021;23(10):e32365.
            Data used in the study can be obtained from the       doi: 10.2196/32365
            corresponding author upon reasonable request.      11.  Clark MD, Determann D, Petrou S, Moro D,
            References                                            De Bekker-Grob EW. Discrete choice experiments in health
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                                                                  from cerebrospinal fluid to blood tests to facilitate diagnosis
            2.   Aggarwal R, Sounderajah V, Martin G,  et al. Diagnostic   and disease monitoring in Alzheimer’s disease. J Int Med.
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            Volume 2 Issue 1 (2025)                        119                               doi: 10.36922/aih.3561
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