Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Attitudes of the Iranian Public Toward the Clinical Use of Artificial Intelligence in Medicine: A Cross-Sectional Survey
0
Zitationen
4
Autoren
2026
Jahr
Abstract
Participants demonstrated high trust in AI's technical potential but strongly preferred human oversight in high-stakes decisions. Successful AI integration in Iran requires "human-in-the-loop" collaborative models and targeted education to bridge the gap between technical trust and clinical preference.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.336 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.207 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.607 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.476 Zit.