Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
AI-Based Dialogue Systems for Informed Consent in Radiology: Professional Perspectives from the KIPA Study
0
Zitationen
5
Autoren
2026
Jahr
Abstract
Informed consent in radiology is often constrained by limited time and patient preparation. The KIPA project combines digital consent forms with an AI-based dialogue system that allows patients to review information and ask questions before imaging procedures. This study explores how radiologists and medical assistants perceive the system’s integration into clinical workflows. Semi-structured interviews and usability testing with twelve healthcare professionals from university hospitals in Germany were analyzed using qualitative content analysis. Participants expressed cautious optimism: KIPA may improve patient understanding, standardization, and workflow efficiency, yet consent remains a relational process requiring human interaction. Overall, KIPA appears promising as a supportive tool that can enhance informed consent and patient empowerment without replacing personal communication.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.764 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.674 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.234 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.898 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.