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Christian-Albrechts-Universität zu Kiel

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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.