Beyond metropolises: artificial intelligence awareness and educational needs among medical students in a developing country.

IF 3.1 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Frontiers in Medicine Pub Date : 2025-09-19 eCollection Date: 2025-01-01 DOI:10.3389/fmed.2025.1645484
Emre Sanri
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引用次数: 0

Abstract

Background: While artificial intelligence (AI) is rapidly transforming healthcare, medical curricula have not fully adapted to this transformation, particularly in developing countries. This gap is especially pronounced in non-metropolitan regions, where resources and exposure to technology may be more limited. Understanding the perspectives of medical students in these specific contexts is vital for designing effective and equitable educational strategies.

Objective: This study evaluated the knowledge, awareness, attitudes, and educational expectations of students at a newly established Turkish medical school, located in a non-metropolitan city, regarding AI and digital health technologies.

Methods: A descriptive, cross-sectional survey was conducted among first- to fourth-year students at Samsun University Faculty of Medicine. Data were collected from 198 participants, and a stratified random sample of 120 students was selected for analysis. The questionnaire covered demographics, digital literacy, AI knowledge, and attitudes toward its integration into the curriculum.

Results: The majority of students rated their digital competence as moderate (59.2%) or low (19.2%). Interest in technology was highest among first-year students (60%) but declined significantly to 13.3% by the fourth year. Knowledge of AI was generally limited, with only 15.8% reporting a high level of knowledge and 55.0% stating they conducted little or no independent research on AI. Despite these deficiencies, students expressed strong support for AI integration: 78.3% supported AI-assisted interactive tools, 79.2% endorsed personalized learning, and 80% acknowledged the role of AI in clinical decision-making processes. The majority of students (82.5%) advocated for a broader integration of AI, stating that their top priority was its integration into clinical practice (39.2%).

Conclusion: Offering a rare perspective from a non-metropolitan city in a developing country, this study reveals that medical students exhibit high motivation for AI integration despite significant knowledge gaps. This enthusiasm presents a critical opportunity for curriculum reform. There is an urgent need for context-appropriate AI curricula to bridge the gap between student interest and preparedness, thereby empowering the next generation of physicians in diverse settings for the future of digital healthcare.

超越大都市:发展中国家医学生的人工智能意识和教育需求。
背景:虽然人工智能(AI)正在迅速改变医疗保健,但医学课程尚未完全适应这种转变,特别是在发展中国家。这种差距在非大都市地区尤其明显,那里的资源和接触技术的机会可能更为有限。了解医学生在这些特定背景下的观点对于设计有效和公平的教育策略至关重要。目的:本研究评估了位于非大城市的新成立的土耳其医学院学生关于人工智能和数字卫生技术的知识、意识、态度和教育期望。方法:对三善大学医学院一至四年级学生进行描述性横断面调查。从198名参与者中收集数据,分层随机抽取120名学生进行分析。调查问卷涵盖了人口统计、数字素养、人工智能知识以及对其融入课程的态度。结果:大多数学生认为自己的数字能力为中等(59.2%)或低(19.2%)。对科技的兴趣在一年级学生中最高(60%),但在第四年大幅下降至13.3%。对人工智能的了解普遍有限,只有15.8%的人表示对人工智能有很高的了解,55.0%的人表示他们很少或没有对人工智能进行独立研究。尽管存在这些不足,学生们对人工智能集成表达了强烈的支持:78.3%的人支持人工智能辅助的互动工具,79.2%的人支持个性化学习,80%的人承认人工智能在临床决策过程中的作用。大多数学生(82.5%)主张更广泛地整合人工智能,并表示他们的首要任务是将其融入临床实践(39.2%)。结论:本研究从一个发展中国家的非大都市提供了一个罕见的视角,表明尽管存在重大知识差距,医学生对人工智能集成表现出很高的动机。这种热情为课程改革提供了一个关键的机会。迫切需要适合具体情况的人工智能课程,以弥合学生兴趣和准备之间的差距,从而使下一代医生能够在不同的环境中为未来的数字医疗保健服务。
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来源期刊
Frontiers in Medicine
Frontiers in Medicine Medicine-General Medicine
CiteScore
5.10
自引率
5.10%
发文量
3710
审稿时长
12 weeks
期刊介绍: Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate - the use of patient-reported outcomes under real world conditions - the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines - the scientific bases for guidelines and decisions from regulatory authorities - access to medicinal products and medical devices worldwide - addressing the grand health challenges around the world
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