Technical University of Munich
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
ChatGPT for good? On opportunities and challenges of large language models for education
Enkelejda Kasneci, Kathrin Seßler, Stefan Küchemann et al.
2023 · 4.400 Zit.
The future of digital health with federated learning
Nicola Rieke, Jonny Hancox, Wenqi Li et al.
2020 · 2.279 Zit.
Secure, privacy-preserving and federated machine learning in medical imaging
Georgios Kaissis, Marcus R. Makowski, Daniel Rückert et al.
2020 · 1.239 Zit.
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas et al.
2022 · 1.133 Zit.
The future landscape of large language models in medicine
Jan Clusmann, Fiona R. Kolbinger, Hannah Sophie Muti et al.
2023 · 875 Zit.
Swarm Learning for decentralized and confidential clinical machine learning
Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry et al.
2021 · 808 Zit.
Surgical data science for next-generation interventions
Lena Maier‐Hein, S. Swaroop Vedula, Stefanie Speidel et al.
2017 · 508 Zit.
Evaluation and mitigation of the limitations of large language models in clinical decision-making
Paul Hager, Friederike Jungmann, Robbie Holland et al.
2024 · 466 Zit.
End-to-end privacy preserving deep learning on multi-institutional medical imaging
Georgios Kaissis, Alexander Ziller, Jonathan Passerat‐Palmbach et al.
2021 · 445 Zit.
Six Human-Centered Artificial Intelligence Grand Challenges
Özlem Özmen Garibay, Brent Winslow, Salvatore Andolina et al.
2023 · 406 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.
Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda
Anna Lena Hunkenschroer, Christoph Luetge
2022 · 342 Zit.
Surgical data science – from concepts toward clinical translation
Lena Maier‐Hein, Matthias Eisenmann, Duygu Sarıkaya et al.
2022 · 314 Zit.
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
Qi Dou, Tiffany Y. So, Meirui Jiang et al.
2021 · 268 Zit.
Promises and challenges of generative artificial intelligence for human learning
Lixiang Yan, Samuel Greiff, Ziwen Teuber et al.
2024 · 265 Zit.