Charité - Universitätsmedizin Berlin
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
Julia Amann, Alessandro Blasimme, Effy Vayena et al.
2020 · 1.756 Zit.
Artificial Intelligence in Dentistry: Chances and Challenges
Falk Schwendicke, Wojciech Samek, Joachim Krois
2020 · 1.171 Zit.
Swarm Learning for decentralized and confidential clinical machine learning
Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry et al.
2021 · 822 Zit.
Why digital medicine depends on interoperability
Moritz Lehne, Julian Saß, Andrea Essenwanger et al.
2019 · 472 Zit.
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.
2022 · 468 Zit.
Machine learning for real-time prediction of complications in critical care: a retrospective study
Alexander Meyer, Dina Zverinski, Boris Pfahringer et al.
2018 · 355 Zit.
Artificial intelligence in dental research: Checklist for authors, reviewers, readers
Falk Schwendicke, Tarry Singh, Jae‐Hong Lee et al.
2021 · 341 Zit.
Bias in AI-based models for medical applications: challenges and mitigation strategies
Mirja Mittermaier, Marium Raza, Joseph C. Kvedar
2023 · 330 Zit.
Artificial intelligence and machine learning in cancer imaging
Dow‐Mu Koh, Nickolas Papanikolaou, Ulrich Bick et al.
2022 · 297 Zit.
Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review
Kathrin Seibert, Dominik Domhoff, Dominik Bruch et al.
2021 · 275 Zit.
Leveraging Large Language Models for Decision Support in Personalized Oncology
Manuela Benary, Xing David Wang, Max Schmidt et al.
2023 · 273 Zit.
METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
Burak Koçak, Tugba Akinci D’Antonoli, Nathaniel D. Mercaldo et al.
2024 · 256 Zit.
Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts
Sarah Haggenmüller, Roman C. Maron, Achim Hekler et al.
2021 · 242 Zit.
Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations
Michael P. Recht, Marc Dewey, Keith Dreyer et al.
2020 · 235 Zit.
To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
Julia Amann, Dennis Vetter, Stig Nikolaj Fasmer Blomberg et al.
2022 · 201 Zit.