A new interdisciplinary study led by Uta Wilkens (Ruhr-Universität Bochum) in collaboration with Valentin Langholf and Marc Dewey (Charité – Berlin) investigates how healthcare professionals perceive and adapt to AI-based assistance in radiology. The work draws on survey data from 128 professionals and in-depth interviews conducted at Charité.
The analysis identifies two dominant human-AI role concepts:
- AI-embracing – professionals actively engage with AI, report benefits, and integrate AI into their workflows.
- AI-ambivalent – professionals remain cautious, perceive risks, and experience role conflicts related to the adoption of AI.
Both groups share similar influencing factors (e.g. AI literacy, digital experience, and task-related changes), yet diverge in outcomes and attitudes toward technology.
Congratulations to our Prof. Marc Dewey on this important contribution to the discourse on AI integration and workforce transformation in radiology.
The article is available open access via DOI: 10.25437/jcsm-vol12-105
