Erasmus University Rotterdam
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Natural Language Processing in Radiology: A Systematic Review
Ewoud Pons, Loes Braun, M. G. Myriam Hunink et al.
2016 · 565 Zit.
Cognitive Challenges in Human–Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation
Andreas Fügener, Jörn Grahl, Alok Gupta et al.
2021 · 353 Zit.
Why rankings of biomedical image analysis competitions should be interpreted with care
Lena Maier‐Hein, Matthias Eisenmann, Annika Reinke et al.
2018 · 351 Zit.
Understanding, explaining, and utilizing medical artificial intelligence
Romain Cadario, Chiara Longoni, Carey K. Morewedge
2021 · 299 Zit.
Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit
Davy van de Sande, Michel E. van Genderen, Joost Huiskens et al.
2021 · 254 Zit.
Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example*
Patrick Thoral, Jan M. Peppink, Ronald H. Driessen et al.
2021 · 249 Zit.
ChatGPT effects on cognitive skills of undergraduate students: Receiving instant responses from AI-based conversational large language models (LLMs)
Harry Barton Essel, Dimitrios Vlachopoulos, Akosua Aya Essuman et al.
2023 · 217 Zit.
Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease
Maarten van Smeden, Georg Heinze, Ben Van Calster et al.
2022 · 130 Zit.
Comparative benchmarking of the DeepSeek large language model on medical tasks and clinical reasoning
Mickaël Tordjman, Zelong Liu, Murat Yüce et al.
2025 · 111 Zit.
Psychology Meets Machine Learning: Interdisciplinary Perspectives on Algorithmic Job Candidate Screening
Cynthia C. S. Liem, Markus Langer, Andrew M. Demetriou et al.
2018 · 97 Zit.
Machine learning in neurosurgery: a global survey
Victor E. Staartjes, Vittorio Stumpo, Julius M. Kernbach et al.
2020 · 79 Zit.
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
Richard Osuala, Kaisar Kushibar, Lidia Garrucho et al.
2022 · 75 Zit.
Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects
Haridimos Kondylakis, Varvara Kalokyri, Stelios Sfakianakis et al.
2023 · 73 Zit.
Anemia as an Independent Predictor of Perioperative and Long-Term Cardiovascular Outcome in Patients Scheduled for Elective Vascular Surgery
Martin Dunkelgrün, Sanne E. Hoeks, G.M. Welten et al.
2008 · 72 Zit.
Clinical Trial Design Principles and Outcomes Definitions for Device-Based Therapies for Hypertension: A Consensus Document From the Hypertension Academic Research Consortium
David E. Kandzari, Felix Mahfoud, Michael A. Weber et al.
2022 · 71 Zit.