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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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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.
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Recommender for the Peer Community in Registered Reports (PCI RR)

I recently became a recommender for the Peer Community in Registered Reports.
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Future Work Selves - Navigating Career Development

Future Work Self (FWS) describes how individuals envision their future career selves (Strauss et al., 2012). The presented research projects underscore the influence of FWS on shaping individuals’ career trajectories, enhancing their adaptability to new technological landscapes, and fostering resilience in educational and professional contexts.
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Anne-Kathrin Kleine
Postdoctoral Researcher and PI
Human-AI Interaction in Healthcare
LMU Munich
How my dad says my name