Berlin Institute of Health at Charité - Universitätsmedizin Berlin
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The Hong Kong Principles for assessing researchers: Fostering research integrity
David Moher, L.M. Bouter, Sabine Kleinert et al.
2020 · 517 Zit.
Why digital medicine depends on interoperability
Moritz Lehne, Julian Saß, Andrea Essenwanger et al.
2019 · 474 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.
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 · 257 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.
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.
Benchmark evaluation of DeepSeek large language models in clinical decision-making
Sarah Sandmann, Stefan Hegselmann, Michael Fujarski et al.
2025 · 141 Zit.
A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate
David Winkel, Angela Tong, Bin Lou et al.
2021 · 110 Zit.
Ethical considerations on artificial intelligence in dentistry: A framework and checklist
Rata Rokhshad, Maxime Ducret, Akhilanand Chaurasia et al.
2023 · 109 Zit.
You Can’t Have AI Both Ways: Balancing Health Data Privacy and Access Fairly
Marieke Bak, Vince I. Madai, Marie-Christine Fritzsche et al.
2022 · 108 Zit.
Undergraduate Medical Competencies in Digital Health and Curricular Module Development: Mixed Methods Study
Akira-Sebastian Poncette, Daniel Leon Glauert, Lina Mosch et al.
2020 · 105 Zit.