University of Lübeck
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Swarm Learning for decentralized and confidential clinical machine learning
Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry et al.
2021 · 795 Zit.
Why rankings of biomedical image analysis competitions should be interpreted with care
Lena Maier‐Hein, Matthias Eisenmann, Annika Reinke et al.
2018 · 343 Zit.
Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance
Thomas Dratsch, Xue Chen, Mohammad Hosein Rezazade Mehrizi et al.
2023 · 226 Zit.
Artificial Intelligence in Skin Cancer Diagnostics: The Patients' Perspective
Tanja Jutzi, Eva Krieghoff‐Henning, Tim Holland‐Letz et al.
2020 · 180 Zit.
Chatbots for future docs: exploring medical students’ attitudes and knowledge towards artificial intelligence and medical chatbots
Julia-Astrid Moldt, Teresa Festl‐Wietek, Amir Madany Mamlouk et al.
2023 · 168 Zit.
Artificial Intelligence Supporting the Training of Communication Skills in the Education of Health Care Professions: Scoping Review
Tjorven Stamer, Jost Steinhäuser, Kristina Flägel
2023 · 102 Zit.
An overview and a roadmap for artificial intelligence in hematology and oncology
Wiebke Rösler, Michael Altenbuchinger, Bettina Baeßler et al.
2023 · 77 Zit.
Applications of artificial intelligence/machine learning approaches in cardiovascular medicine: a systematic review with recommendations
Sarah Friedrich, Stefan Groß, Inke R. König et al.
2021 · 66 Zit.
Attention-augmented U-Net (AA-U-Net) for semantic segmentation
Kumar Rajamani, Priya Rani, Hanna Siebert et al.
2022 · 53 Zit.
Ensemble Deep Learning and Internet of Things‐Based Automated COVID‐19 Diagnosis Framework
Anita S. Kini, A. Nanda Gopal Reddy, Manjit Kaur et al.
2022 · 47 Zit.
The potential role for artificial intelligence in fracture risk prediction
Namki Hong, Danielle E. Whittier, Claus‐C. Glüer et al.
2024 · 39 Zit.
Augmented Realities, Artificial Intelligence, and Machine Learning: Clinical Implications and How Technology Is Shaping the Future of Medicine
Gaby Moawad, Jad Elkhalil, Jordan S. Klebanoff et al.
2020 · 38 Zit.
Diagnostic and Management Performance of ChatGPT in Obstetrics and Gynecology
Leila Allahqoli, Mohammad Matin Ghiasvand, Afrooz Mazidimoradi et al.
2023 · 36 Zit.
On the Ethical and Epistemological Utility of Explicable AI in Medicine
Christian Herzog
2022 · 30 Zit.
Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation
Kumar Rajamani, Hanna Siebert, Mattias P. Heinrich
2021 · 28 Zit.