Siemens Healthcare (United States)
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field
Genevieve Coorey, Gemma A. Figtree, David F. Fletcher et al.
2022 · 292 Zit.
Artificial intelligence in radiography: Where are we now and what does the future hold?
Christina Malamateniou, Karen Knapp, M. Pergola et al.
2021 · 79 Zit.
Artificial intelligence
Anna Marielle B. Dy, Daniela Mennickent, E. Castro et al.
2023 · 47 Zit.
Artificial Intelligence in Chest Radiography Reporting Accuracy
Jan Rudolph, Christian Huemmer, Florin‐Cristian Ghesu et al.
2021 · 40 Zit.
A User Interface for Optimizing Radiologist Engagement in Image Data Curation for Artificial Intelligence
Mutlu Demirer, Sema Candemir, Matthew Bigelow et al.
2019 · 38 Zit.
Where is laboratory medicine headed in the next decade? Partnership model for efficient integration and adoption of artificial intelligence into medical laboratories
Anna Carobene, Federico Cabitza, Sergio Bernardini et al.
2022 · 38 Zit.
Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning
Zhoubing Xu, Qiangui Huang, JinHyeong Park et al.
2017 · 20 Zit.
FHIR-GPT Enhances Health Interoperability with Large Language Models
Yikuan Li, Hanyin Wang, Halid Ziya Yerebakan et al.
2024 · 16 Zit.
Impact of deep learning architectures on accelerated cardiac T<sub>1</sub> mapping using MyoMapNet
Amine Amyar, Rui Guo, Xiaoying Cai et al.
2022 · 15 Zit.
Privacy-Preserving and Explainable AI for Cardiovascular Imaging
Andrei Puiu, Anamaria Vizitiu, Cosmin Nita et al.
2021 · 10 Zit.
Where is laboratory medicine headed in the next decade? Partnership model for efficient integration and adoption of artificial intelligence into medical laboratories
Anna Carobene, Federico Cabitza, Sergio Bernardini et al.
2023 · 9 Zit.
Current and Future Trends in Life Sciences Training: Questionnaire Study
William Magagna, Nicole Wang, Kyle L. Peck
2020 · 6 Zit.
Reduction in Radiologist Interpretation Time of Serial CT and MR Imaging Findings with Deep Learning Identification of Relevant Priors, Series and Finding Locations
Thomas Weikert, Harold Litt, William H. Moore et al.
2023 · 5 Zit.
Deep Anatomical Federated Network (Dafne): An Open Client-Server Framework for Continuous, Collaborative Improvement of Deep Learning–based Medical Image Segmentation
Francesco Santini, Jakob Wasserthal, Abramo Agosti et al.
2025 · 5 Zit.
Concordance and generalization of an AI algorithm with real-world clinical data in the pre-omicron and omicron era
Gülşen Yılmaz, Sevilay Sezer, Aliye Baştuğ et al.
2024 · 3 Zit.