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As a data analyst and social scientist, I explore the opportunities and challenges of using artificial intelligence and machine learning in healthcare. In addition, I facilitate teaching sessions and workshops for individuals and groups in the areas of Open Science and reproducible data analysis.
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Blog
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
Artificial intelligence–enabled clinical decision support systems (AI-CDSSs) offer potential for improving health care outcomes, but their adoption among health care practitioners remains limited. The meta-analysis identified predictors influencing health care practitioners’ intention to use AI-CDSSs based on the Unified Theory of Acceptance and Use of Technology (UTAUT). Additional predictors were examined based on existing empirical evidence.
Read moreScientific projects and beyond
Recommender for the Peer Community in Registered Reports (PCI RR)
I recently became a recommender for the Peer Community in Registered Reports.
Read moreTalks & workshops
Introduction to reproducible data analysis with R and Quarto
A workshop on data analysis, reporting, and collaboration using R and Quarto.
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Anne-Kathrin Kleine
Postdoctoral Researcher and PI
Human-AI Interaction in Healthcare
LMU Munich
How my dad says my name