Publications by authors named "Jim Krups"
In healthcare, integration of artificial intelligence (AI) holds strong promise for facilitating clinicians' work, especially in clinical imaging. We aimed to assess the impact of AI implementation for medical imaging on efficiency in real-world clinical workflows and conducted a systematic review searching six medical databases. Two reviewers double-screened all records.
View Article and Find Full Text PDFIn healthcare, artificial intelligence (AI) is expected to improve work processes, yet most research focuses on the technical features of AI rather than its real-world clinical implementation. To evaluate the implementation process of an AI-based computer-aided detection system (AI-CAD) for prostate MRI readings, we interviewed German radiologists in a pre-post design. We embedded our findings in the Model of Workflow Integration and the Technology Acceptance Model to analyze workflow effects, facilitators, and barriers.
View Article and Find Full Text PDFArticle Synopsis
- The study evaluates the impact of an AI-based computer-aided detection (CAD) system on radiologists reading prostate MRIs, focusing on workflow, workload, and stress.
- Despite plans for improved efficiency, the results showed a non-significant increase in overall workflow time and longer diagnostic reading times for complex cases after CAD implementation.
- Ultimately, the research did not find evidence that AI reduced radiologists' workload or stress, challenging expectations of AI's benefits in clinical practice.