{"title":"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。","authors":"Emre Sanri","doi":"10.3389/fmed.2025.1645484","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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%).</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":12488,"journal":{"name":"Frontiers in Medicine","volume":"12 ","pages":"1645484"},"PeriodicalIF":3.1000,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12492445/pdf/","citationCount":"0","resultStr":"{\"title\":\"Beyond metropolises: artificial intelligence awareness and educational needs among medical students in a developing country.\",\"authors\":\"Emre Sanri\",\"doi\":\"10.3389/fmed.2025.1645484\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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%).</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":12488,\"journal\":{\"name\":\"Frontiers in Medicine\",\"volume\":\"12 \",\"pages\":\"1645484\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12492445/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3389/fmed.2025.1645484\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fmed.2025.1645484","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Beyond metropolises: artificial intelligence awareness and educational needs among medical students in a developing country.
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.
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