Ultrasound in Obstetrics & GynecologyAccepted Articles Opinion Sonographer interaction with artificial intelligence: collaboration or conflict? T. G. Day, Corresponding Author T. G. Day [email protected] orcid.org/0000-0001-8391-7903 Department of Congenital Cardiology, Evelina London Children's Healthcare, Guy's and St Thomas' NHS Foundation Trust, London, UK Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKCorrespondence to: Dr T. G. Day: Fetal Cardiology Unit, South Wing, St Thomas’ Hospital, Westminster Bridge Road, London, UK, E-mail: [email protected]Search for more papers by this authorJ. Matthew, J. Matthew orcid.org/0000-0003-4754-0322 Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKSearch for more papers by this authorS. Budd, S. Budd Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKSearch for more papers by this authorJ. V. Hajnal, J. V. Hajnal Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKSearch for more papers by this authorJ. M. Simpson, J. M. Simpson Department of Congenital Cardiology, Evelina London Children's Healthcare, Guy's and St Thomas' NHS Foundation Trust, London, UK Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKSearch for more papers by this authorR. Razavi, R. Razavi Department of Congenital Cardiology, Evelina London Children's Healthcare, Guy's and St Thomas' NHS Foundation Trust, London, UK Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKSearch for more papers by this authorB. Kainz, B. Kainz Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany Department of Computing, Faculty of Engineering, Imperial College London, London, UKSearch for more papers by this author T. G. Day, Corresponding Author T. G. Day [email protected] orcid.org/0000-0001-8391-7903 Department of Congenital Cardiology, Evelina London Children's Healthcare, Guy's and St Thomas' NHS Foundation Trust, London, UK Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKCorrespondence to: Dr T. G. Day: Fetal Cardiology Unit, South Wing, St Thomas’ Hospital, Westminster Bridge Road, London, UK, E-mail: [email protected]Search for more papers by this authorJ. Matthew, J. Matthew orcid.org/0000-0003-4754-0322 Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKSearch for more papers by this authorS. Budd, S. Budd Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKSearch for more papers by this authorJ. V. Hajnal, J. V. Hajnal Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKSearch for more papers by this authorJ. M. Simpson, J. M. Simpson Department of Congenital Cardiology, Evelina London Children's Healthcare, Guy's and St Thomas' NHS Foundation Trust, London, UK Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKSearch for more papers by this authorR. Razavi, R. Razavi Department of Congenital Cardiology, Evelina London Children's Healthcare, Guy's and St Thomas' NHS Foundation Trust, London, UK Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKSearch for more papers by this authorB. Kainz, B. Kainz Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany Department of Computing, Faculty of Engineering, Imperial College London, London, UKSearch for more papers by this author First published: 01 May 2023 https://doi.org/10.1002/uog.26238 This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as doi: 10.1002/uog.26238. 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