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Holzner D, Apfelbacher T, Rödle W, Schüttler C, Prokosch HU, Mikolajczyk R, Negash S, Kartschmit N, Manuilova I, Buch C, Gundlack J, Christoph J. Attitudes and Acceptance Towards Artificial Intelligence in Medical Care. Stud Health Technol Inform 2022; 294:68-72. [PMID: 35612018 DOI: 10.3233/shti220398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
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.
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Affiliation(s)
- Dana Holzner
- Department of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Timo Apfelbacher
- Department of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Wolfgang Rödle
- Department of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Christina Schüttler
- Department of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Hans-Ulrich Prokosch
- Department of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Rafael Mikolajczyk
- Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Sarah Negash
- Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Nadja Kartschmit
- Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Iryna Manuilova
- Junior Research Group (Bio-)medical Data Science, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Charlotte Buch
- Institute for History and Ethics of Medicine, Center for Health Sciences Halle, Medical Faculty, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Jana Gundlack
- Institute of General Practice and Family Medicine, Center of Health Sciences, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Jan Christoph
- Department of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.,Junior Research Group (Bio-)medical Data Science, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany
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