Augsburg University

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

Dominik Müller, Frank Krämer

2021 · 137 Zit.

Predictors of Health Care Practitioners’ Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology

Julius Dingel, Anne‐Kathrin Kleine, Julia Cecil et al.

2024 · 52 Zit.

The Role of Corticotomy and Osteotomy in the Treatment of Bone Defects Using the Ilizarov Technique

R. Brutscher, B. A. Rahn, A R??ter et al.

1993 · 35 Zit.

Use of Creative Frameworks in Health Care to Solve Data and Information Problems: Scoping Review

Elisabeth Veronica Mess, Frank Krämer, Julia Krumme et al.

2024 · 6 Zit.

Clinical Decision Support Systems at the Intersection of Technology and Ethics: A Critical Analysis of the Ethical Guidelines Issued by the German Medical Association

Paula Ziethmann, Miriam Elia, Fabian Stieler et al.

2025 · 1 Zit.

Medical students’ perceptions of AI-based feedback and feedforward on communication skills in doctor–patient consultation - an acceptance study in a video-based simulation

Moritz Bauermann, Thomas Rotthoff, Tobias Hallmen et al.

2025 · 0 Zit.

From Code to Critical Care Time: Implementing an AI-Driven ICU Length-of-Stay Clinical Decision Support System Under European Governance Constraints

Alexander Althammer, Anton Hummel, Jan-Philipp Steghöfer et al.

2026 · 0 Zit.

Der Mensch im Mittelpunkt: Einblick in die Gestaltung Menschenzentrierter Künstlicher Intelligenz

Katharina Weitz

2024 · 0 Zit.