University of Augsburg

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

Susanne Gaube, Harini Suresh, Martina Raue et al.

2023 · 84 Zit.

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

Sarah Bayer, Henner Gimpel, Moritz Markgraf

2021 · 83 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 · 70 Zit.

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

Renate Baumgartner, Payal Arora, Corinna Bath et al.

2023 · 56 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 · 54 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 · 24 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 · 21 Zit.

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

Peter Hofmann, Timon Rückel, Nils Urbach

2021 · 13 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 · 13 Zit.

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

Jan Clusmann, Stefan Schulz, Dyke Ferber et al.

2025 · 10 Zit.

The AI ethics of digital COVID-19 diagnosis and their legal, medical, technological, and operational managerial implications

Christina C. Bartenschlager, Ulrich M. Gassner, Christoph Römmele et al.

2024 · 8 Zit.

AI-enabled clinical decision support tools for mental healthcare: A product review

Anne‐Kathrin Kleine, Eesha Kokje, Pia Hummelsberger et al.

2024 · 7 Zit.

MedAIcine: A Pilot Project on the Social and Ethical Aspects of AI in Medical Imaging

Sophie Jörg, Paula Ziethmann, Svenja Breuer

2023 · 7 Zit.

Toward Detecting and Addressing Corner Cases in Deep Learning Based Medical Image Segmentation

Srividya Tirunellai Rajamani, Kumar Rajamani, Ashwin Venkateshvaran et al.

2023 · 6 Zit.

The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data

Luuk Boulogne, Julian Lorenz, Daniel Kienzle et al.

2024 · 5 Zit.