Artificial Intelligence Readiness, Perceptions, and Educational Needs Among Dental Students: A Cross‐Sectional Study

<h3>Objectives</h3><p dir="ltr">With Artificial Intelligence (AI) profoundly affecting education, ensuring that students in health disciplines are ready to embrace AI is essential for their future workforce integration. This study aims to explore dental students' rea...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Dalal Hammoudi Halat (18627987) (author)
مؤلفون آخرون: Rula Shami (14151504) (author), Alaa Daud (13890173) (author), Waqas Sami (11231658) (author), Abderrezzaq Soltani (19532617) (author), Ahmed Malki (805714) (author)
منشور في: 2024
الموضوعات:
الوسوم: إضافة وسم
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author Dalal Hammoudi Halat (18627987)
author2 Rula Shami (14151504)
Alaa Daud (13890173)
Waqas Sami (11231658)
Abderrezzaq Soltani (19532617)
Ahmed Malki (805714)
author2_role author
author
author
author
author
author_facet Dalal Hammoudi Halat (18627987)
Rula Shami (14151504)
Alaa Daud (13890173)
Waqas Sami (11231658)
Abderrezzaq Soltani (19532617)
Ahmed Malki (805714)
author_role author
dc.creator.none.fl_str_mv Dalal Hammoudi Halat (18627987)
Rula Shami (14151504)
Alaa Daud (13890173)
Waqas Sami (11231658)
Abderrezzaq Soltani (19532617)
Ahmed Malki (805714)
dc.date.none.fl_str_mv 2024-07-05T03:00:00Z
dc.identifier.none.fl_str_mv 10.1002/cre2.925
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Artificial_Intelligence_Readiness_Perceptions_and_Educational_Needs_Among_Dental_Students_A_Cross_Sectional_Study/29898557
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biomedical and clinical sciences
Dentistry
Education
Education systems
Information and computing sciences
Artificial intelligence
Human-centred computing
Artificial Intelligence (AI)
AI readiness
Health education
Dental education
AI in healthcare
AI in radiology
dc.title.none.fl_str_mv Artificial Intelligence Readiness, Perceptions, and Educational Needs Among Dental Students: A Cross‐Sectional Study
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <h3>Objectives</h3><p dir="ltr">With Artificial Intelligence (AI) profoundly affecting education, ensuring that students in health disciplines are ready to embrace AI is essential for their future workforce integration. This study aims to explore dental students' readiness to use AI, perceptions about AI in health education and healthcare, and their AI‐related educational needs.</p><h3>Material and Methods</h3><p dir="ltr">A cross‐sectional survey was conducted among dental students at the College of Dental Medicine, Qatar University. The survey assessed readiness for AI using the Medical Artificial Intelligence Readiness Scale (MAIRS). Students' perceptions of AI in healthcare and health education and their educational needs were also explored.</p><h3>Results</h3><p dir="ltr">A total of 94 students responded to the survey. AI readiness scores were average (3.3 ± 0.64 out of 5); while participants appeared more ready for the vision and ethics domains of MAIRS, they showed less readiness regarding cognition and ability. Participants scored average on AI perceptions (3.35 ± 0.45 out of 5), with concerns regarding AI risks and disadvantages. They expressed a high need for knowledge and skills related to AI use in healthcare (84%), AI for health‐related research (81.9%), and AI in radiology and imaging procedures (79.8%). Student readiness had a significant correlation with AI perceptions and perceived level of AI knowledge.</p><h3>Conclusions</h3><p dir="ltr">This is the first study in Qatar exploring dental students' AI readiness, perceptions, and educational needs regarding AI applications in education and healthcare. The perceived AI knowledge gaps could inform future curricular AI integration. Advancing AI skills and deepening AI comprehension can empower future dental professionals through anticipated advances in the AI‐driven healthcare landscape.</p><h2>Other Information</h2><p dir="ltr">Published in: Clinical and Experimental Dental Research<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1002/cre2.925" target="_blank">https://dx.doi.org/10.1002/cre2.925</a></p>
eu_rights_str_mv openAccess
id Manara2_de2b32c5f6ba5d095707780d8fa71eaa
identifier_str_mv 10.1002/cre2.925
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/29898557
publishDate 2024
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spelling Artificial Intelligence Readiness, Perceptions, and Educational Needs Among Dental Students: A Cross‐Sectional StudyDalal Hammoudi Halat (18627987)Rula Shami (14151504)Alaa Daud (13890173)Waqas Sami (11231658)Abderrezzaq Soltani (19532617)Ahmed Malki (805714)Biomedical and clinical sciencesDentistryEducationEducation systemsInformation and computing sciencesArtificial intelligenceHuman-centred computingArtificial Intelligence (AI)AI readinessHealth educationDental educationAI in healthcareAI in radiology<h3>Objectives</h3><p dir="ltr">With Artificial Intelligence (AI) profoundly affecting education, ensuring that students in health disciplines are ready to embrace AI is essential for their future workforce integration. This study aims to explore dental students' readiness to use AI, perceptions about AI in health education and healthcare, and their AI‐related educational needs.</p><h3>Material and Methods</h3><p dir="ltr">A cross‐sectional survey was conducted among dental students at the College of Dental Medicine, Qatar University. The survey assessed readiness for AI using the Medical Artificial Intelligence Readiness Scale (MAIRS). Students' perceptions of AI in healthcare and health education and their educational needs were also explored.</p><h3>Results</h3><p dir="ltr">A total of 94 students responded to the survey. AI readiness scores were average (3.3 ± 0.64 out of 5); while participants appeared more ready for the vision and ethics domains of MAIRS, they showed less readiness regarding cognition and ability. Participants scored average on AI perceptions (3.35 ± 0.45 out of 5), with concerns regarding AI risks and disadvantages. They expressed a high need for knowledge and skills related to AI use in healthcare (84%), AI for health‐related research (81.9%), and AI in radiology and imaging procedures (79.8%). Student readiness had a significant correlation with AI perceptions and perceived level of AI knowledge.</p><h3>Conclusions</h3><p dir="ltr">This is the first study in Qatar exploring dental students' AI readiness, perceptions, and educational needs regarding AI applications in education and healthcare. The perceived AI knowledge gaps could inform future curricular AI integration. Advancing AI skills and deepening AI comprehension can empower future dental professionals through anticipated advances in the AI‐driven healthcare landscape.</p><h2>Other Information</h2><p dir="ltr">Published in: Clinical and Experimental Dental Research<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1002/cre2.925" target="_blank">https://dx.doi.org/10.1002/cre2.925</a></p>2024-07-05T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1002/cre2.925https://figshare.com/articles/journal_contribution/Artificial_Intelligence_Readiness_Perceptions_and_Educational_Needs_Among_Dental_Students_A_Cross_Sectional_Study/29898557CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/298985572024-07-05T03:00:00Z
spellingShingle Artificial Intelligence Readiness, Perceptions, and Educational Needs Among Dental Students: A Cross‐Sectional Study
Dalal Hammoudi Halat (18627987)
Biomedical and clinical sciences
Dentistry
Education
Education systems
Information and computing sciences
Artificial intelligence
Human-centred computing
Artificial Intelligence (AI)
AI readiness
Health education
Dental education
AI in healthcare
AI in radiology
status_str publishedVersion
title Artificial Intelligence Readiness, Perceptions, and Educational Needs Among Dental Students: A Cross‐Sectional Study
title_full Artificial Intelligence Readiness, Perceptions, and Educational Needs Among Dental Students: A Cross‐Sectional Study
title_fullStr Artificial Intelligence Readiness, Perceptions, and Educational Needs Among Dental Students: A Cross‐Sectional Study
title_full_unstemmed Artificial Intelligence Readiness, Perceptions, and Educational Needs Among Dental Students: A Cross‐Sectional Study
title_short Artificial Intelligence Readiness, Perceptions, and Educational Needs Among Dental Students: A Cross‐Sectional Study
title_sort Artificial Intelligence Readiness, Perceptions, and Educational Needs Among Dental Students: A Cross‐Sectional Study
topic Biomedical and clinical sciences
Dentistry
Education
Education systems
Information and computing sciences
Artificial intelligence
Human-centred computing
Artificial Intelligence (AI)
AI readiness
Health education
Dental education
AI in healthcare
AI in radiology