Christian-Albrechts-Universität zu Kiel
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Swarm Learning for decentralized and confidential clinical machine learning
Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry et al.
2021 · 817 Zit.
Artificial intelligence enables comprehensive genome interpretation and nomination of candidate diagnoses for rare genetic diseases
Francisco M. De La Vega, Shimul Chowdhury, Barry Moore et al.
2021 · 147 Zit.
Artificial Intelligence and Its Effect on Dermatologists’ Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study
Roman C. Maron, Jochen Utikal, Achim Hekler et al.
2020 · 87 Zit.
Patients’ and professionals’ views related to ethical issues in precision medicine: a mixed research synthesis
Anke Erdmann, Christoph Rehmann‐Sutter, Claudia Bozzaro
2021 · 82 Zit.
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions
Eike Petersen, Yannik Potdevin, Esfandiar Mohammadi et al.
2022 · 63 Zit.
Artificial intelligence in emergency medicine. A systematic literature review
Konstantin Piliuk, Sven Tomforde
2023 · 63 Zit.
Emerging ethical issues regarding digital health data. On the World Medical Association Draft Declaration on Ethical Considerations Regarding Health Databases and Biobanks
Christine Aicardi, Lorenzo Del Savio, Edward S. Dove et al.
2016 · 55 Zit.
Exploring the role of professional identity in the implementation of clinical decision support systems—a narrative review
Sophia Ackerhans, Thomas V. Huynh, Carsten Kaiser et al.
2024 · 44 Zit.
Health Information Counselors: A New Profession for the Age of Big Data
Amelia Fiske, Alena Buyx, Barbara Prainsack
2018 · 44 Zit.
AI-empowered scale development: Testing the potential of ChatGPT
Stefan Hoffmann, Wassili Lasarov, Yogesh K. Dwivedi
2024 · 33 Zit.
MAGIC: once upon a time in consent management—a FHIR® tale
Martin Bialke, Thomas Bahls, Lars Geidel et al.
2018 · 32 Zit.
Implementation of artificial intelligence in thoracic imaging—a what, how, and why guide from the European Society of Thoracic Imaging (ESTI)
Fergus Gleeson, Marie‐Pierre Revel, Jürgen Biederer et al.
2023 · 29 Zit.
Does big data require a methodological change in medical research?
Amke Caliebe, Friedhelm Leverkus, Gerd Antes et al.
2019 · 25 Zit.
The quality and utility of artificial intelligence in patient care
Kai Wehkamp, Michael Krawczak, Stefan Schreiber
2023 · 24 Zit.
ChatGPT as a data analyst: an exploratory study on AI-supported quantitative data analysis in empirical research
Dimitri Prandner, Daniela Wetzelhütter, Sönke Hese
2025 · 19 Zit.