University of Augsburg

MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning

Dominik Müller, Frank Krämer

2021 · 137 Zit.

Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays

Susanne Gaube, Harini Suresh, Martina Raue et al.

2023 · 88 Zit.

The role of domain expertise in trusting and following explainable AI decision support systems

Sarah Bayer, Henner Gimpel, Moritz Markgraf

2021 · 87 Zit.

Artificial intelligence for clinical decision support for monitoring patients in cardiovascular ICUs: A systematic review

Sobhan Moazemi, Sahar Vahdati, Jason Li et al.

2023 · 79 Zit.

On classifying sepsis heterogeneity in the ICU: insight using machine learning

Zina Ibrahim, Honghan Wu, Ahmed Hamoud et al.

2019 · 75 Zit.

Leveraging the Potential of Large Language Models in Education Through Playful and Game-Based Learning

Stefan E. Huber, Kristian Kiili, Steve Nebel et al.

2024 · 62 Zit.

Fair and equitable AI in biomedical research and healthcare: Social science perspectives

Renate Baumgartner, Payal Arora, Corinna Bath et al.

2023 · 61 Zit.

Interpretable machine learning for thyroid cancer recurrence predicton: Leveraging XGBoost and SHAP analysis

Andreas Schindele, Anne Krebold, Ursula Heiß et al.

2025 · 34 Zit.

Artificial intelligence (AI), conversational agents, and generative AI: implications for adult education practice and research

Marcella Milana, Ulrik Brandi, Steven Hodge et al.

2024 · 29 Zit.

Levels of explicability for medical artificial intelligence: What do we normatively need and what can we technically reach?

Frank Ursin, Felix Lindner, Timo Ropinski et al.

2023 · 22 Zit.

Artificial Intelligence in Colorectal Cancer: From Patient Screening over Tailoring Treatment Decisions to Identification of Novel Biomarkers

Nic G. Reitsam, Johanna Sophie Enke, Kien Vu Trung et al.

2024 · 18 Zit.

Evaluation of a Clinical Decision Support System for Imaging Requests

Stijntje Dijk, Claudia Wollny, Jörg Barkhausen et al.

2025 · 17 Zit.

Innovating with Artificial Intelligence: Capturing the Constructive Functional Capabilities of Deep Generative Learning

Peter Hofmann, Timon Rückel, Nils Urbach

2021 · 15 Zit.

Embedded Ethics in Practice: A Toolbox for Integrating the Analysis of Ethical and Social Issues into Healthcare AI Research

Theresa Willem, Marie-Christine Fritzsche, Bettina Zimmermann et al.

2024 · 15 Zit.

Incidental Prompt Injections on Vision–Language Models in Real-Life Histopathology

Jan Clusmann, Stefan Schulz, Dyke Ferber et al.

2025 · 10 Zit.