University of Würzburg

Welcome to the Era of ChatGPT et al.

Timm Teubner, Christoph M. Flath, Christof Weinhardt et al.

2023 · 331 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 · 259 Zit.

How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare

Johannes Allgaier, Lena Mulansky, Rachel Lea Draelos et al.

2023 · 134 Zit.

Bias in clinical research

Giovanni Tripepi, Kitty J. Jager, Friedo W. Dekker et al.

2007 · 112 Zit.

Artificial intelligence in breast ultrasound

Ge-Ge Wu, Liqiang Zhou, Jianwei Xu et al.

2019 · 110 Zit.

Title and abstract screening for literature reviews using large language models: an exploratory study in the biomedical domain

Fabio Dennstädt, Johannes Zink, Paul Martin Putora et al.

2024 · 108 Zit.

Artificial Intelligence and Its Effect on Dermatologists’ Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study

Roman C. Maron, Jochen Utikal, Achim Hekler et al.

2020 · 88 Zit.

Influence of believed AI involvement on the perception of digital medical advice

Moritz Reis, Florian Reis, Wilfried Kunde

2024 · 77 Zit.

A Diagnostic Expert System for Structured Reports, Quality Assessment, and Training of Residents in Sonography

Matthias Huettig, Georg Buscher, Thomas Menzel et al.

2004 · 49 Zit.

Operational framework and training standard requirements for AI‐empowered robotic surgery

Shane O’Sullivan, Simon Léonard, Andreas Holzinger et al.

2019 · 34 Zit.

Prospective risk analysis of the online-adaptive artificial intelligence-driven workflow using the Ethos treatment system

Sonja Wegener, Florian Exner, Stefan Weick et al.

2022 · 24 Zit.

Normalization of Elevated Prolactin Levels in Hemodialysis Patients on Erythropoietin

R. M. Schaefer, F Kokot, B. Kürner et al.

2008 · 18 Zit.

A social evaluation of the perceived goodness of explainability in machine learning

Jonas Wanner, Lukas-Valentin Herm, Kai Heinrich et al.

2021 · 17 Zit.

The effects of generative AI’s human-like competencies on clinical decision-making

Niko Spatscheck, Myriam Schaschek, Axel Winkelmann

2024 · 16 Zit.

Meta AI literacy scale: Further validation and development of a short version

Martin J. Koch, Astrid Carolus, Carolin Wienrich et al.

2024 · 16 Zit.