Mihaela van der Schaar
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
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*
2021 · 242 Zit. · Critical Care Medicine
Generalization—a key challenge for responsible AI in patient-facing clinical applications
2024 · 86 Zit. · npj Digital Medicine
AI education for clinicians
2024 · 54 Zit. · EClinicalMedicine
Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review
2024 · 46 Zit. · The Lancet Digital Health
Multiple stakeholders drive diverse interpretability requirements for machine learning in healthcare
2023 · 34 Zit. · Nature Machine Intelligence
Can surgeons trust AI? Perspectives on machine learning in surgery and the importance of eXplainable Artificial Intelligence (XAI)
2025 · 22 Zit. · Langenbeck s Archives of Surgery
Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact
2024 · 20 Zit. · PLOS Digital Health
Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Reverse Total Shoulder Arthroplasty
2021 · 20 Zit. · Journal of Shoulder and Elbow Arthroplasty
Use of generative artificial intelligence in medical research
2024 · 5 Zit. · BMJ
Hide-and-Seek Privacy Challenge
2020 · 5 Zit. · arXiv (Cornell University)
Governing synthetic data in medical research: the time is now
2025 · 4 Zit. · The Lancet Digital Health
AutoML and Interpretability: Powering the Machine Learning Revolution in Healthcare
2020 · 3 Zit.
Novel Preoperative Risk Stratification Using Digital Phenotyping Applying a Scalable Machine-Learning Approach
2023 · 3 Zit. · Anesthesia & Analgesia
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time
2023 · 2 Zit. · arXiv (Cornell University)
Optimising Human-AI Collaboration by Learning Convincing Explanations
2023 · 1 Zit. · arXiv (Cornell University)