Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Investigating Students’ Perceptions Towards Artificial Intelligence in Medical Education
15
Zitationen
6
Autoren
2022
Jahr
Abstract
<title>Abstract</title> <bold>Objective</bold>: Implementing a reform in medical education requires students’ awareness regarding the importance of artificial intelligence (AI) in modern medicine practice. This study aimed to investigate students’ perceptions towards AI in medical education.<bold>Subject and Methods</bold>: A cross-sectional survey was conducted from June 2021 until November 2021, using an online questionnaire to collect data from medical students in the faculty of medicine at Kuwait University.<bold>Results</bold>: The response rate was 51.0%, with a sample size of 352. The majority agreed that AI will play an important role in healthcare (349 (99.1%)). More than half of the students understood the basic principles of AI; and 329 (93.4%) students showed comfortability with AI terminology. Many students (329 (83.5%)) believed that learning about AI benefits their careers, and 289 (82.1%) believed that medical students should receive AI teaching.<bold>Conclusion</bold>: The study reveals students had positive perceptions towards AI. The role of AI in the future of medicine is significant. AI-dominated medical practice is required, and AI will not displace doctors but will create new roles.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.214 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.071 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.429 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 · 5.418 Zit.