{"title":"Understanding artificial intelligence through the eyes of future nurses: Insights from nursing students.","authors":"Latifah Alenazi, Saad H Al-Anazi","doi":"10.15537/smj.2025.46.3.20241069","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To explore nursing students' perceptions and understanding of artificial intelligence (AI), aiming to identify and address critical knowledge gaps to support effective integration into educational practices.</p><p><strong>Methods: </strong>An exploratory qualitative study was carried out using semi-structured interviews with 20 nursing students from King Saud University, Riyadh, Saudi Arabia, in October 2023. Data collection focused on their definitions, conceptualizations, and perspectives regarding AI in healthcare.</p><p><strong>Results: </strong>A total of 3 key themes emerged: I)transformation, where AI represents a shift in nursing education from traditional methods to technological integration; II) power, viewing AI as a driver of knowledge creation and scientific advancement; and III) use of technology, focusing on AI applications to enhance efficiency, automate tasks, and augment human abilities across sectors.</p><p><strong>Conclusion: </strong>The study highlights the need to integrate AI-related content into nursing curriculum, preparing students for its application in healthcare. These insights emphasize AI's role in shaping the future of nursing education and practice.</p>","PeriodicalId":21453,"journal":{"name":"Saudi Medical Journal","volume":"46 3","pages":"238-243"},"PeriodicalIF":1.7000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11918680/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Saudi Medical Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.15537/smj.2025.46.3.20241069","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: To explore nursing students' perceptions and understanding of artificial intelligence (AI), aiming to identify and address critical knowledge gaps to support effective integration into educational practices.
Methods: An exploratory qualitative study was carried out using semi-structured interviews with 20 nursing students from King Saud University, Riyadh, Saudi Arabia, in October 2023. Data collection focused on their definitions, conceptualizations, and perspectives regarding AI in healthcare.
Results: A total of 3 key themes emerged: I)transformation, where AI represents a shift in nursing education from traditional methods to technological integration; II) power, viewing AI as a driver of knowledge creation and scientific advancement; and III) use of technology, focusing on AI applications to enhance efficiency, automate tasks, and augment human abilities across sectors.
Conclusion: The study highlights the need to integrate AI-related content into nursing curriculum, preparing students for its application in healthcare. These insights emphasize AI's role in shaping the future of nursing education and practice.
期刊介绍:
The Saudi Medical Journal is a monthly peer-reviewed medical journal. It is an open access journal, with content released under a Creative Commons attribution-noncommercial license.
The journal publishes original research articles, review articles, Systematic Reviews, Case Reports, Brief Communication, Brief Report, Clinical Note, Clinical Image, Editorials, Book Reviews, Correspondence, and Student Corner.