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Bayer (Germany)

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Electronic health records to facilitate clinical research

Martín Cowie, Juuso Blomster, Lesley H. Curtis et al.

2016 · 657 Zit.

Federated Learning for Healthcare: Systematic Review and Architecture Proposal

Rodolfo Stoffel Antunes, Cristiano André da Costa, Arne Küderle et al.

2022 · 501 Zit.

Using Digital Health Technology to Better Generate Evidence and Deliver Evidence-Based Care

Abhinav Sharma, Robert A. Harrington, Mark McClellan et al.

2018 · 334 Zit.

The role of machine learning in clinical research: transforming the future of evidence generation

E. Hope Weissler, Tristan Naumann, Tomas Andersson et al.

2021 · 270 Zit.

Machine Learning for Health: Algorithm Auditing & Quality Control

Luis Oala, Andrew G. Murchison, Pradeep Balachandran et al.

2021 · 45 Zit.

Unlocking the Value: Quantifying the Return on Investment of Hospital Artificial Intelligence

Prateek Bharadwaj, Lauren P Nicola, Manon Breau-Brunel et al.

2024 · 42 Zit.

To pay or not to pay for artificial intelligence applications in radiology

Franziska Lobig, Dhinagar Subramanian, Michael Blankenburg et al.

2023 · 38 Zit.

Doctor-patient interactions in the age of AI: navigating innovation and expertise

Brett N. Hryciw, Zanna Fortin, Jamie Ghossein et al.

2023 · 29 Zit.

A multidisciplinary team and multiagency approach for AI implementation: A commentary for medical imaging and radiotherapy key stakeholders

Nikolaos Stogiannos, Caitlin Gillan, Helle Precht et al.

2024 · 24 Zit.

Perspective of German medical faculties on digitization in the healthcare sector and its influence on the curriculum

Maximilian Neumann, Leonard Fehring, Kristian Kinscher et al.

2021 · 22 Zit.

Data-driven federated learning in drug discovery with knowledge distillation

Thierry Hanser, Ernst Ahlberg, Alexander Amberg et al.

2025 · 18 Zit.

Digital health and artificial intelligence in kidney research: a report from the 2020 Kidney Disease Clinical Trialists (KDCT) meeting

Tae Won Yi, Chris Laing, Matthias Kretzler et al.

2021 · 7 Zit.

Enhancing patient outcomes: the role of clinical utility in guiding healthcare providers in curating radiology AI applications

Franziska Lobig, Jacob L. Graham, Apeksha Damania et al.

2024 · 5 Zit.

Selecting the Best Radiology Workflow Efficiency Applications

Prateek Bharadwaj, Michael Berger, Steven L. Blumer et al.

2024 · 5 Zit.

On the Application of Artificial Intelligence/Machine Learning (AI/ML) in Late-Stage Clinical Development

Karl Köchert, Tim Friede, Michael Kunz et al.

2024 · 4 Zit.