Merck (Germany)
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Current Status and Future Directions: The Application of Artificial Intelligence/Machine Learning for Precision Medicine
Kunal Naik, Rahul K. Goyal, Luca Foschini et al.
2023 · 54 Zit.
Artificial intelligence accelerates multi-modal biomedical process: A Survey
Jiajia Li, Xue Han, Yiming Qin et al.
2023 · 28 Zit.
Bringing Machine Learning Systems into Clinical Practice: A Design Science Approach to Explainable Machine Learning-Based Clinical Decision Support Systems
Luisa Pumplun, Felix Peters, Joshua Gawlitza et al.
2023 · 21 Zit.
The Unseen Hand: AI-Based Prescribing Decision Support Tools and the Evaluation of Drug Safety and Effectiveness
Harriet Dickinson, Dana Y. Teltsch, Jan Feifel et al.
2023 · 18 Zit.
Data-driven federated learning in drug discovery with knowledge distillation
Thierry Hanser, Ernst Ahlberg, Alexander Amberg et al.
2025 · 18 Zit.
Improving trustworthiness in research in women's health: A collective effort by OBGYN editors
Vincenzo Berghella, Amir Aviram, Nancy C. Chescheir et al.
2023 · 7 Zit.
International multistakeholder consensus statement on post‐publication integrity issues in randomized clinical trials by Cairo Consensus Group
Khalid S. Khan, Mohamed Fawzy, Patrick Chien et al.
2025 · 5 Zit.
Improving trustworthiness in research in women's health: A collective effort by OBGYN Editors
Vincenzo Berghella, Amir Aviram, Nancy C. Chescheir et al.
2023 · 5 Zit.
Learning with an evolving medicine label: how artificial intelligence-based medication recommendation systems must adapt to changing medication labels
Harriet Dickinson, Jan Feifel, Katoo M. Muylle et al.
2024 · 4 Zit.
Developing a framework for addressing ethical challenges in generative AI
Simon Lucas, René M. Heinitz, Sarah J. Becker et al.
2025 · 2 Zit.
Operationalising digital ethics: establishment of an ethics evaluation tool for data analytics
Jean Enno Charton, Simon Lucas, Werner Vogd et al.
2025 · 1 Zit.
Triage, diagnosis and risk prediction: The benefits and challenges of digital health and AI technologies
Eleonora Lippolis
2024 · 0 Zit.