{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T02:23:16Z","timestamp":1768270996623,"version":"3.49.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643682846","type":"print"},{"value":"9781643682853","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T00:00:00Z","timestamp":1653436800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,25]]},"abstract":"<jats:p>Background: Artificial intelligence (AI) in medicine is a very topical issue. As far as the attitudes and perspectives of the different stakeholders in healthcare are concerned, there is still much to be explored. Objective: Our aim was to determine attitudes and aspects towards acceptance of AI applications from the perspective of physicians in university hospitals. Methods: We conducted individual exploratory expert interviews. Low fidelity mockups were used to show interviewees potential application areas of AI in clinical care. Results: In principle, physicians are open to the use of AI in medical care. However, they are critical of some aspects such as data protection or the lack of explainability of the systems. Conclusion: Although some trends in attitudes e.g., on the challenges or benefits of using AI became clear, it is necessary to conduct further research as intended by the subsequent PEAK project.<\/jats:p>","DOI":"10.3233\/shti220398","type":"book-chapter","created":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T12:12:40Z","timestamp":1653480760000},"source":"Crossref","is-referenced-by-count":8,"title":["Attitudes and Acceptance Towards Artificial Intelligence in Medical Care"],"prefix":"10.3233","author":[{"given":"Dana","family":"Holzner","sequence":"first","affiliation":[{"name":"Department of Medical Informatics, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"}]},{"given":"Timo","family":"Apfelbacher","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"}]},{"given":"Wolfgang","family":"R\u00f6dle","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"}]},{"given":"Christina","family":"Sch\u00fcttler","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"}]},{"given":"Hans-Ulrich","family":"Prokosch","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"}]},{"given":"Rafael","family":"Mikolajczyk","sequence":"additional","affiliation":[{"name":"Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany"}]},{"given":"Sarah","family":"Negash","sequence":"additional","affiliation":[{"name":"Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany"}]},{"given":"Nadja","family":"Kartschmit","sequence":"additional","affiliation":[{"name":"Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany"}]},{"given":"Iryna","family":"Manuilova","sequence":"additional","affiliation":[{"name":"Junior Research Group (Bio-)medical Data Science, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany"}]},{"given":"Charlotte","family":"Buch","sequence":"additional","affiliation":[{"name":"Institute for History and Ethics of Medicine, Center for Health Sciences Halle, Medical Faculty, Martin-Luther-University Halle-Wittenberg, Halle, Germany"}]},{"given":"Jana","family":"Gundlack","sequence":"additional","affiliation":[{"name":"Institute of General Practice and Family Medicine, Center of Health Sciences, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany"}]},{"given":"Jan","family":"Christoph","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"},{"name":"Junior Research Group (Bio-)medical Data Science, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Challenges of Trustable AI and Added-Value on Health"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220398","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T12:12:41Z","timestamp":1653480761000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220398"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,25]]},"ISBN":["9781643682846","9781643682853"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220398","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,25]]}}}