@article{2984847, title = "Artificial intelligence for hospital health care: Application cases and answers to challenges in european hospitals", author = "Klumpp, M. and Hintze, M. and Immonen, M. and Ródenas-Rigla, F. and Pilati, F. and Aparicio-Martínez, F. and Çelebi, D. and Liebig, T. and Jirstrand, M. and Urbann, O. and Hedman, M. and Lipponen, J.A. and Bicciato, S. and Radan, A.-P. and Valdivieso, B. and Thronicke, W. and Gunopulos, D. and Delgado-Gonzalo, R.", journal = "Healthcare (Switzerland)", year = "2021", volume = "9", number = "8", publisher = "MDPI AG", doi = "10.3390/healthcare9080961", abstract = "The development and implementation of artificial intelligence (AI) applications in health care contexts is a concurrent research and management question. Especially for hospitals, the expectations regarding improved efficiency and effectiveness by the introduction of novel AI applications are huge. However, experiences with real-life AI use cases are still scarce. As a first step towards structuring and comparing such experiences, this paper is presenting a comparative approach from nine European hospitals and eleven different use cases with possible application areas and benefits of hospital AI technologies. This is structured as a current review and opinion article from a diverse range of researchers and health care professionals. This contributes to important improvement options also for pandemic crises challenges, e.g., the current COVID-19 situation. The expected advantages as well as challenges regarding data protection, privacy, or human acceptance are re-ported. Altogether, the diversity of application cases is a core characteristic of AI applications in hospitals, and this requires a specific approach for successful implementation in the health care sector. This can include specialized solutions for hospitals regarding human–computer interaction, data management, and communication in AI implementation projects. © 2021 by the authors. Licensee MDPI, Basel, Switzerland." }