UMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik

Artificial Intelligence in Clinical Decision Support: Challenges for Evaluating AI and Practical Implications

Farah Magrabi, Elske Ammenwerth, Jytte Brender McNair et al.

2019 · 317 Zit.

Artificial Intelligence in Medicine: Cross-Sectional Study Among Medical Students on Application, Education, and Ethical Aspects

Lukas Weidener, Michael Fischer

2024 · 109 Zit.

Teaching AI Ethics in Medical Education: A Scoping Review of Current Literature and Practices

Lukas Weidener, Michael Fischer

2023 · 103 Zit.

Recommendations of the International Medical Informatics Association (IMIA) on Education in Biomedical and Health Informatics: Second Revision

Jen Bichel‐Findlay, Sabine Koch, John Mantas et al.

2022 · 87 Zit.

Artificial Intelligence Teaching as Part of Medical Education: Qualitative Analysis of Expert Interviews

Lukas Weidener, Michael Fischer

2023 · 58 Zit.

Proposing a Principle-Based Approach for Teaching AI Ethics in Medical Education

Lukas Weidener, Michael Fischer

2024 · 57 Zit.

Agreement in Risk of Bias Assessment Between RobotReviewer and Human Reviewers: An Evaluation Study on Randomised Controlled Trials in Nursing‐Related Cochrane Reviews

Julian Hirt, Jasmin Eppel‐Meichlinger, Petra B. Schumacher et al.

2021 · 26 Zit.

Role of Ethics in Developing AI-Based Applications in Medicine: Insights From Expert Interviews and Discussion of Implications

Lukas Weidener, Michael Fischer

2024 · 25 Zit.

The need to strengthen the evaluation of the impact of Artificial Intelligence-based decision support systems on healthcare provision

Kathrin Cresswell, Michael Rigby, Farah Magrabi et al.

2023 · 20 Zit.

Publication bias in medical informatics evaluation research: is it an issue or not?

Christof Machan, Elske Ammenwerth, Thomas Bodner

2006 · 12 Zit.

Assessing Digital Maturity of Hospitals: Viewpoint Comparing National Approaches in Five Countries

Kathrin Cresswell, Franziska Jahn, Line Silsand et al.

2024 · 11 Zit.

Transforming Clinical Information Systems: Empowering Healthcare through Telemedicine, Data Science, and Artificial Intelligence Applications

Werner O. Hackl, Sabrina Neururer, Bernhard Pfeifer et al.

2023 · 10 Zit.

Risk of bias in meta-analysis on erythropoietin-stimulating agents in heart failure

Benjamin P. Geisler, Rob M. van Dam, G. Scott Gazelle et al.

2009 · 9 Zit.

Telemedicine Research from Big Bang to 2022

Werner O. Hackl, Sabrina Neururer, Bernhard Pfeifer

2023 · 6 Zit.

Developing a taxonomy of communication errors in heterogeneous information systems.

Samrend Saboor, Elske Ammenwerth

2008 · 2 Zit.