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            <front>

                <journal-meta>
                                                                <journal-id>tjph</journal-id>
            <journal-title-group>
                                                                                    <journal-title>Turkish Journal of Public Health</journal-title>
            </journal-title-group>
                                        <issn pub-type="epub">1304-1088</issn>
                                                                                            <publisher>
                    <publisher-name>Halk Sağlığı Uzmanları Derneği</publisher-name>
                </publisher>
                    </journal-meta>
                <article-meta>
                                        <article-id pub-id-type="doi">10.20518/tjph.1756462</article-id>
                                                                <article-categories>
                                            <subj-group  xml:lang="en">
                                                            <subject>Health Literacy</subject>
                                                    </subj-group>
                                            <subj-group  xml:lang="tr">
                                                            <subject>Sağlık Okuryazarlığı</subject>
                                                    </subj-group>
                                    </article-categories>
                                                                                                                                                        <title-group>
                                                                                                                        <article-title>Artificial intelligence in healthcare education: Cross-sectional survey of knowledge, attitudes, and readiness among Sikkim’s healthcare students</article-title>
                                                                                                    </title-group>
            
                                                    <contrib-group content-type="authors">
                                                                        <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0001-8926-3867</contrib-id>
                                                                <name>
                                    <surname>Devi</surname>
                                    <given-names>Barkha</given-names>
                                </name>
                                                                    <aff>Sikkim Manipal College of Nursing, Sikkim Manipal Institute of Medical Sciences, Sikkim Manipal University</aff>
                                                            </contrib>
                                                    <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0001-8261-1275</contrib-id>
                                                                <name>
                                    <surname>Sharma</surname>
                                    <given-names>Champa</given-names>
                                </name>
                                                                    <aff>Sikkim Manipal College of Nursing, Sikkim Manipal Institute of Medical Sciences, Sikkim Manipal University</aff>
                                                            </contrib>
                                                    <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0009-0007-9165-725X</contrib-id>
                                                                <name>
                                    <surname>Pradhan</surname>
                                    <given-names>Ms. Shrijana</given-names>
                                </name>
                                                                    <aff>Sikkim Manipal College of Nursing, Sikkim Manipal Institute of Medical Sciences, Sikkim Manipal University</aff>
                                                            </contrib>
                                                    <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0001-8049-2145</contrib-id>
                                                                <name>
                                    <surname>Lepcha</surname>
                                    <given-names>Nazung</given-names>
                                </name>
                                                                    <aff>Sikkim Manipal College of Nursing, Sikkim Manipal Institute of Medical Sciences, Sikkim Manipal University</aff>
                                                            </contrib>
                                                    <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0001-9572-8085</contrib-id>
                                                                <name>
                                    <surname>Pangbagam</surname>
                                    <given-names>Shashirani</given-names>
                                </name>
                                                                    <aff>Sikkim Manipal College of Nursing, Sikkim Manipal Institute of Medical Sciences, Sikkim Manipal University</aff>
                                                            </contrib>
                                                    <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0009-0001-5966-7219</contrib-id>
                                                                <name>
                                    <surname>Chettri</surname>
                                    <given-names>Narmaya</given-names>
                                </name>
                                                                    <aff>Sikkim Manipal College of Nursing, Sikkim Manipal Institute of Medical Sciences, Sikkim Manipal University</aff>
                                                            </contrib>
                                                                                </contrib-group>
                        
                                        <pub-date pub-type="pub" iso-8601-date="20260410">
                    <day>04</day>
                    <month>10</month>
                    <year>2026</year>
                </pub-date>
                                                    <issue>1</issue>
                                                
                        <history>
                                    <date date-type="received" iso-8601-date="20250802">
                        <day>08</day>
                        <month>02</month>
                        <year>2025</year>
                    </date>
                                                    <date date-type="accepted" iso-8601-date="20260323">
                        <day>03</day>
                        <month>23</month>
                        <year>2026</year>
                    </date>
                            </history>
                                        <permissions>
                    <copyright-statement>Copyright © 2003, Turkish Journal of Public Health</copyright-statement>
                    <copyright-year>2003</copyright-year>
                    <copyright-holder>Turkish Journal of Public Health</copyright-holder>
                </permissions>
            
                                                                                                <abstract><p>Objective: Artificial intelligence (AI) is increasingly transforming healthcare worldwide, enhancing diagnostic accuracy, treatment planning, and health system management. However, understanding how future healthcare professionals perceive and prepare for AI integration remains essential. This study aimed to assess the knowledge, attitudes, and readiness (KAR) of healthcare students in Sikkim, a region where digital healthcare implementation is still evolving.Method: A cross-sectional survey was conducted among 1,219 students enrolled in nursing, physiotherapy, pharmacy, and allied health sciences programs across five universities using stratified random sampling. Data were collected through a structured questionnaire comprising multiple-choice items (knowledge), Likert-scale statements (attitude), and scenario-based assessments (readiness). Demographic characteristics, academic background, and familiarity with digital technologies were also recorded. The instrument was pretested for reliability, and ethical approval was obtained prior to data collection.Results: Overall, 51.4% of participants demonstrated adequate AI knowledge, and 77.3% expressed positive attitudes toward AI. However, only 38.6% were classified as ready to apply AI in clinical practice. No significant correlations were observed between knowledge and readiness (r=0.047, p=0.104) or between attitude and readiness (r=0.075, p=0.151), indicating that favourable perceptions and conceptual understanding did not translate into practical preparedness.Conclusion: Readiness was associated with prior curricular exposure to AI, technological confidence, and openness to training. The findings highlight a gap between awareness and practical preparedness, emphasizing the need for structured, hands-on AI training within healthcare curricula.</p></abstract>
                                                            
            
                                                            <kwd-group>
                                                    <kwd>Artificial Intelligence</kwd>
                                                    <kwd>  Health Occupations Students</kwd>
                                                    <kwd>  Computer Literacy</kwd>
                                                    <kwd>  Health Education</kwd>
                                                    <kwd>  Readiness
for Practice</kwd>
                                            </kwd-group>
                            
                                                                                                                    <funding-group specific-use="FundRef">
                    <award-group>
                                                    <funding-source>
                                <named-content content-type="funder_name">Sikkim Manipal University.</named-content>
                            </funding-source>
                                                                    </award-group>
                </funding-group>
                                </article-meta>
    </front>
    <back>
                            <ref-list>
                                    <ref id="ref1">
                        <label>1</label>
                        <mixed-citation publication-type="journal">1.	Fetzer JH. Turing test: Still valid for the problem of machine intelligence. Minds Mach. 1990;1(1):3–17.</mixed-citation>
                    </ref>
                                    <ref id="ref2">
                        <label>2</label>
                        <mixed-citation publication-type="journal">2.	Ronquillo CE, Peltonen L-M, Pruinelli L. Artificial intelligence in nursing: Priorities and opportunities. J Adv Nurs. 2021;77:3707–17.</mixed-citation>
                    </ref>
                                    <ref id="ref3">
                        <label>3</label>
                        <mixed-citation publication-type="journal">3.	Michalowski M. Artificial intelligence and nursing: The what, the why, and the how. Brocher Workshop on AI for Nursing. 2019.</mixed-citation>
                    </ref>
                                    <ref id="ref4">
                        <label>4</label>
                        <mixed-citation publication-type="journal">4.	Moen H, Hakala K, Peltonen L-M, et al. Assisting nurses in care documentation. J Biomed Semantics. 2020;11(1):4.</mixed-citation>
                    </ref>
                                    <ref id="ref5">
                        <label>5</label>
                        <mixed-citation publication-type="journal">5.	Monica K. Using EHR voice recognition to improve documentation. EHR Intelligence. 2018. Available from: https://ehrintelligence.com/news/using-ehr-voice-recognition-to-improve-documentation</mixed-citation>
                    </ref>
                                    <ref id="ref6">
                        <label>6</label>
                        <mixed-citation publication-type="journal">6.	Mozur P. Google’s AlphaGo defeats Chinese Go master in win for AI. New York Times. 2017. Available from:https://www.nytimes.com/2017/05/23/business/google-deepmind-alphago-go-champion-defeat.html</mixed-citation>
                    </ref>
                                    <ref id="ref7">
                        <label>7</label>
                        <mixed-citation publication-type="journal">7.	Wagner N, Sherwood J. Attitudes toward IT and its effect on behavior. J Educ Technol Syst. 2019;48(3):241–60.</mixed-citation>
                    </ref>
                                    <ref id="ref8">
                        <label>8</label>
                        <mixed-citation publication-type="journal">8.	Jotham I. Google’s AI clones itself. Int Bus Times. 2017. Available from: https://www.ibtimes.com/googles-ai-clones-itself-2622203</mixed-citation>
                    </ref>
                                    <ref id="ref9">
                        <label>9</label>
                        <mixed-citation publication-type="journal">9.	von Gerich H, Moen H, Block LJ, et al. Artificial intelligence–based technologies in nursing: a scoping literature review of the evidence. Int J Nurs Stud. 2022;127:104153.</mixed-citation>
                    </ref>
                                    <ref id="ref10">
                        <label>10</label>
                        <mixed-citation publication-type="journal">10.	Alsaggaf R, Almatrafi A, Alqurashi T, et al. Awareness and attitude toward artificial intelligence among Saudi medical students. BMC Med Educ. 2023;23(1):12.</mixed-citation>
                    </ref>
                                    <ref id="ref11">
                        <label>11</label>
                        <mixed-citation publication-type="journal">11.	Bisdas S, Bohner G, Krol A. AI knowledge among medical students in Germany. Neuroradiology. 2022;64(4):789–96.</mixed-citation>
                    </ref>
                                    <ref id="ref12">
                        <label>12</label>
                        <mixed-citation publication-type="journal">12.	Pinto dos Santos D, Giese D, Brodehl S, et al. Medical students&#039; attitudes toward artificial intelligence. PLoS One. 2019;14(8):e0220579.</mixed-citation>
                    </ref>
                                    <ref id="ref13">
                        <label>13</label>
                        <mixed-citation publication-type="journal">13.	Alqahtani N, Alharbi A, Alanazi A , et al. Factors influencing student nurses’ readiness to adopt artificial intelligence in healthcare: a cross-sectional study. Nurse Educ Today. 2023;130:105945.</mixed-citation>
                    </ref>
                                    <ref id="ref14">
                        <label>14</label>
                        <mixed-citation publication-type="journal">14.	Aboagye EO, Abubakari A, Boateng D, et al. Readiness, knowledge, and perception towards artificial intelligence of medical students: a cross-sectional study. BMC Med Educ. 2024;24:1044.</mixed-citation>
                    </ref>
                                    <ref id="ref15">
                        <label>15</label>
                        <mixed-citation publication-type="journal">15.	Abdullah NA, Kamarudin S, Nasir N, Rahman RA, Ismail F.	Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: a systematic review. Health Sci Rep. 2023;6(3):e1042.</mixed-citation>
                    </ref>
                                    <ref id="ref16">
                        <label>16</label>
                        <mixed-citation publication-type="journal">16.	Sit C, Srinivasan R, Amlani A, et al. Attitudes and perceptions of medical students toward AI. J Med Educ Curric Dev. 2020;7:2382120520943595.</mixed-citation>
                    </ref>
                                    <ref id="ref17">
                        <label>17</label>
                        <mixed-citation publication-type="journal">17.	AlShdaifat E, Alkhateeb M. Awareness and perception of AI in health science students in Jordan. BMC Med Inform Decis Mak. 2023;23:17.</mixed-citation>
                    </ref>
                                    <ref id="ref18">
                        <label>18</label>
                        <mixed-citation publication-type="journal">18.	Al-Shdaifat E, Gharaibeh H, Abu-Dalbouh H. Influence of AI exposure on perception among students. Comput Educ. 2022;180:104447.</mixed-citation>
                    </ref>
                                    <ref id="ref19">
                        <label>19</label>
                        <mixed-citation publication-type="journal">19.	Razzak MI, Imran M, Xu G. Big data analytics for preventive medicine. Neural Comput Appl. 2019;31:1605-16.</mixed-citation>
                    </ref>
                                    <ref id="ref20">
                        <label>20</label>
                        <mixed-citation publication-type="journal">20.	Alanazi T, Alanzi T, Alsharif W, et al. AI readiness among Saudi health students. BMC Med Educ. 2023;23(1):44.</mixed-citation>
                    </ref>
                                    <ref id="ref21">
                        <label>21</label>
                        <mixed-citation publication-type="journal">21.	Ramaswamy H, Rao D, Patel H. Assessing readiness for AI education: A multicenter study. Educ Health. 2021;34(2):77–84.</mixed-citation>
                    </ref>
                                    <ref id="ref22">
                        <label>22</label>
                        <mixed-citation publication-type="journal">22.	Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989;13(3):319–40.</mixed-citation>
                    </ref>
                                    <ref id="ref23">
                        <label>23</label>
                        <mixed-citation publication-type="journal">23.	Yun SY, Lee H, Kim YM. Factors affecting AI learning in nursing. Nurse Educ Today. 2023;121:105679.</mixed-citation>
                    </ref>
                                    <ref id="ref24">
                        <label>24</label>
                        <mixed-citation publication-type="journal">24.	Gunasekaran A, Yusuf YY. Technology adoption and digital competence in higher education. Technol Forecast Soc Change. 2020;156:120109.</mixed-citation>
                    </ref>
                                    <ref id="ref25">
                        <label>25</label>
                        <mixed-citation publication-type="journal">25.	Gado N, Hussein M, Sayed A. AI perception and tech confidence among nursing students. J Nurs Educ Pract. 2021;11(8):77–83.</mixed-citation>
                    </ref>
                                    <ref id="ref26">
                        <label>26</label>
                        <mixed-citation publication-type="journal">26.	Arora M, Ganguly A. Healthcare students&#039; attitude toward AI: A study in India. Int J Med Inform. 2022;159:104652.</mixed-citation>
                    </ref>
                                    <ref id="ref27">
                        <label>27</label>
                        <mixed-citation publication-type="journal">27.	Ibrahim H, Elbasir M, Mohammed S, et al. Digital attitude and its effect on AI acceptance. Comput Hum Behav. 2021;120:106742.</mixed-citation>
                    </ref>
                                    <ref id="ref28">
                        <label>28</label>
                        <mixed-citation publication-type="journal">28.	Nguyen T, Zary N. AI literacy in health professions education. BMC Med Educ. 2022;22(1):404.</mixed-citation>
                    </ref>
                            </ref-list>
                    </back>
    </article>
