Knowledge and attitudes of medical students in Lebanon toward artificial intelligence: A national survey study

PurposeThis study assesses the knowledge and attitudes of medical students in Lebanon toward Artificial Intelligence (AI) in medical education. It also explores the students' perspectives regarding the role of AI in medical education as a subject in the curriculum and a teaching tool.MethodsThi...
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Autor*in:	George Doumat [verfasserIn] Darine Daher [verfasserIn] Nadim-Nicolas Ghanem [verfasserIn] Beatrice Khater [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	artificial intelligence medical education medical student choice of specialty medical curriculum

Übergeordnetes Werk:	In: Frontiers in Artificial Intelligence - Frontiers Media S.A., 2019, 5(2022)
Übergeordnetes Werk:	volume:5 ; year:2022

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/frai.2022.1015418

Katalog-ID:	DOAJ083999655

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520			\|a PurposeThis study assesses the knowledge and attitudes of medical students in Lebanon toward Artificial Intelligence (AI) in medical education. It also explores the students' perspectives regarding the role of AI in medical education as a subject in the curriculum and a teaching tool.MethodsThis is a cross-sectional study using an online survey consisting of close-ended questions. The survey targets medical students at all medical levels across the 7 medical schools in Lebanon.ResultsA total of 206 medical students responded. When assessing AI knowledge sources (81.1%) got their information from the media as compared to (9.7%) from medical school curriculum. However, Students who learned the basics of AI as part of the medical school curriculum were more knowledge about AI than their peers who did not. Students in their clinical years appear to be more knowledgeable about AI in medicine. The advancements in AI affected the choice of specialty of around a quarter of the students (26.8%). Finally, only a quarter of students (26.5%) want to be assessed by AI, even though the majority (57.7%) reported that assessment by AI is more objective.ConclusionsEducation about AI should be incorporated in the medical school curriculum to improve the knowledge and attitudes of medical students. Improving AI knowledge in medical students will in turn increase acceptance of AI as a tool in medical education, thus unlocking its potential in revolutionizing medical education.
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allfields	10.3389/frai.2022.1015418 doi (DE-627)DOAJ083999655 (DE-599)DOAJ77a0494a5abc4b5c86d98aba7bb6e42b DE-627 ger DE-627 rakwb eng QA75.5-76.95 George Doumat verfasserin aut Knowledge and attitudes of medical students in Lebanon toward artificial intelligence: A national survey study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier PurposeThis study assesses the knowledge and attitudes of medical students in Lebanon toward Artificial Intelligence (AI) in medical education. It also explores the students' perspectives regarding the role of AI in medical education as a subject in the curriculum and a teaching tool.MethodsThis is a cross-sectional study using an online survey consisting of close-ended questions. The survey targets medical students at all medical levels across the 7 medical schools in Lebanon.ResultsA total of 206 medical students responded. When assessing AI knowledge sources (81.1%) got their information from the media as compared to (9.7%) from medical school curriculum. However, Students who learned the basics of AI as part of the medical school curriculum were more knowledge about AI than their peers who did not. Students in their clinical years appear to be more knowledgeable about AI in medicine. The advancements in AI affected the choice of specialty of around a quarter of the students (26.8%). Finally, only a quarter of students (26.5%) want to be assessed by AI, even though the majority (57.7%) reported that assessment by AI is more objective.ConclusionsEducation about AI should be incorporated in the medical school curriculum to improve the knowledge and attitudes of medical students. Improving AI knowledge in medical students will in turn increase acceptance of AI as a tool in medical education, thus unlocking its potential in revolutionizing medical education. artificial intelligence medical education medical student choice of specialty medical curriculum Electronic computers. Computer science Darine Daher verfasserin aut Nadim-Nicolas Ghanem verfasserin aut Beatrice Khater verfasserin aut In Frontiers in Artificial Intelligence Frontiers Media S.A., 2019 5(2022) (DE-627)1047358654 (DE-600)2957496-1 26248212 nnns volume:5 year:2022 https://doi.org/10.3389/frai.2022.1015418 kostenfrei https://doaj.org/article/77a0494a5abc4b5c86d98aba7bb6e42b kostenfrei https://www.frontiersin.org/articles/10.3389/frai.2022.1015418/full kostenfrei https://doaj.org/toc/2624-8212 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2022
spelling	10.3389/frai.2022.1015418 doi (DE-627)DOAJ083999655 (DE-599)DOAJ77a0494a5abc4b5c86d98aba7bb6e42b DE-627 ger DE-627 rakwb eng QA75.5-76.95 George Doumat verfasserin aut Knowledge and attitudes of medical students in Lebanon toward artificial intelligence: A national survey study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier PurposeThis study assesses the knowledge and attitudes of medical students in Lebanon toward Artificial Intelligence (AI) in medical education. It also explores the students' perspectives regarding the role of AI in medical education as a subject in the curriculum and a teaching tool.MethodsThis is a cross-sectional study using an online survey consisting of close-ended questions. The survey targets medical students at all medical levels across the 7 medical schools in Lebanon.ResultsA total of 206 medical students responded. When assessing AI knowledge sources (81.1%) got their information from the media as compared to (9.7%) from medical school curriculum. However, Students who learned the basics of AI as part of the medical school curriculum were more knowledge about AI than their peers who did not. Students in their clinical years appear to be more knowledgeable about AI in medicine. The advancements in AI affected the choice of specialty of around a quarter of the students (26.8%). Finally, only a quarter of students (26.5%) want to be assessed by AI, even though the majority (57.7%) reported that assessment by AI is more objective.ConclusionsEducation about AI should be incorporated in the medical school curriculum to improve the knowledge and attitudes of medical students. Improving AI knowledge in medical students will in turn increase acceptance of AI as a tool in medical education, thus unlocking its potential in revolutionizing medical education. artificial intelligence medical education medical student choice of specialty medical curriculum Electronic computers. Computer science Darine Daher verfasserin aut Nadim-Nicolas Ghanem verfasserin aut Beatrice Khater verfasserin aut In Frontiers in Artificial Intelligence Frontiers Media S.A., 2019 5(2022) (DE-627)1047358654 (DE-600)2957496-1 26248212 nnns volume:5 year:2022 https://doi.org/10.3389/frai.2022.1015418 kostenfrei https://doaj.org/article/77a0494a5abc4b5c86d98aba7bb6e42b kostenfrei https://www.frontiersin.org/articles/10.3389/frai.2022.1015418/full kostenfrei https://doaj.org/toc/2624-8212 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2022
allfields_unstemmed	10.3389/frai.2022.1015418 doi (DE-627)DOAJ083999655 (DE-599)DOAJ77a0494a5abc4b5c86d98aba7bb6e42b DE-627 ger DE-627 rakwb eng QA75.5-76.95 George Doumat verfasserin aut Knowledge and attitudes of medical students in Lebanon toward artificial intelligence: A national survey study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier PurposeThis study assesses the knowledge and attitudes of medical students in Lebanon toward Artificial Intelligence (AI) in medical education. It also explores the students' perspectives regarding the role of AI in medical education as a subject in the curriculum and a teaching tool.MethodsThis is a cross-sectional study using an online survey consisting of close-ended questions. The survey targets medical students at all medical levels across the 7 medical schools in Lebanon.ResultsA total of 206 medical students responded. When assessing AI knowledge sources (81.1%) got their information from the media as compared to (9.7%) from medical school curriculum. However, Students who learned the basics of AI as part of the medical school curriculum were more knowledge about AI than their peers who did not. Students in their clinical years appear to be more knowledgeable about AI in medicine. The advancements in AI affected the choice of specialty of around a quarter of the students (26.8%). Finally, only a quarter of students (26.5%) want to be assessed by AI, even though the majority (57.7%) reported that assessment by AI is more objective.ConclusionsEducation about AI should be incorporated in the medical school curriculum to improve the knowledge and attitudes of medical students. Improving AI knowledge in medical students will in turn increase acceptance of AI as a tool in medical education, thus unlocking its potential in revolutionizing medical education. artificial intelligence medical education medical student choice of specialty medical curriculum Electronic computers. Computer science Darine Daher verfasserin aut Nadim-Nicolas Ghanem verfasserin aut Beatrice Khater verfasserin aut In Frontiers in Artificial Intelligence Frontiers Media S.A., 2019 5(2022) (DE-627)1047358654 (DE-600)2957496-1 26248212 nnns volume:5 year:2022 https://doi.org/10.3389/frai.2022.1015418 kostenfrei https://doaj.org/article/77a0494a5abc4b5c86d98aba7bb6e42b kostenfrei https://www.frontiersin.org/articles/10.3389/frai.2022.1015418/full kostenfrei https://doaj.org/toc/2624-8212 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2022
allfieldsGer	10.3389/frai.2022.1015418 doi (DE-627)DOAJ083999655 (DE-599)DOAJ77a0494a5abc4b5c86d98aba7bb6e42b DE-627 ger DE-627 rakwb eng QA75.5-76.95 George Doumat verfasserin aut Knowledge and attitudes of medical students in Lebanon toward artificial intelligence: A national survey study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier PurposeThis study assesses the knowledge and attitudes of medical students in Lebanon toward Artificial Intelligence (AI) in medical education. It also explores the students' perspectives regarding the role of AI in medical education as a subject in the curriculum and a teaching tool.MethodsThis is a cross-sectional study using an online survey consisting of close-ended questions. The survey targets medical students at all medical levels across the 7 medical schools in Lebanon.ResultsA total of 206 medical students responded. When assessing AI knowledge sources (81.1%) got their information from the media as compared to (9.7%) from medical school curriculum. However, Students who learned the basics of AI as part of the medical school curriculum were more knowledge about AI than their peers who did not. Students in their clinical years appear to be more knowledgeable about AI in medicine. The advancements in AI affected the choice of specialty of around a quarter of the students (26.8%). Finally, only a quarter of students (26.5%) want to be assessed by AI, even though the majority (57.7%) reported that assessment by AI is more objective.ConclusionsEducation about AI should be incorporated in the medical school curriculum to improve the knowledge and attitudes of medical students. Improving AI knowledge in medical students will in turn increase acceptance of AI as a tool in medical education, thus unlocking its potential in revolutionizing medical education. artificial intelligence medical education medical student choice of specialty medical curriculum Electronic computers. Computer science Darine Daher verfasserin aut Nadim-Nicolas Ghanem verfasserin aut Beatrice Khater verfasserin aut In Frontiers in Artificial Intelligence Frontiers Media S.A., 2019 5(2022) (DE-627)1047358654 (DE-600)2957496-1 26248212 nnns volume:5 year:2022 https://doi.org/10.3389/frai.2022.1015418 kostenfrei https://doaj.org/article/77a0494a5abc4b5c86d98aba7bb6e42b kostenfrei https://www.frontiersin.org/articles/10.3389/frai.2022.1015418/full kostenfrei https://doaj.org/toc/2624-8212 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2022
allfieldsSound	10.3389/frai.2022.1015418 doi (DE-627)DOAJ083999655 (DE-599)DOAJ77a0494a5abc4b5c86d98aba7bb6e42b DE-627 ger DE-627 rakwb eng QA75.5-76.95 George Doumat verfasserin aut Knowledge and attitudes of medical students in Lebanon toward artificial intelligence: A national survey study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier PurposeThis study assesses the knowledge and attitudes of medical students in Lebanon toward Artificial Intelligence (AI) in medical education. It also explores the students' perspectives regarding the role of AI in medical education as a subject in the curriculum and a teaching tool.MethodsThis is a cross-sectional study using an online survey consisting of close-ended questions. The survey targets medical students at all medical levels across the 7 medical schools in Lebanon.ResultsA total of 206 medical students responded. When assessing AI knowledge sources (81.1%) got their information from the media as compared to (9.7%) from medical school curriculum. However, Students who learned the basics of AI as part of the medical school curriculum were more knowledge about AI than their peers who did not. Students in their clinical years appear to be more knowledgeable about AI in medicine. The advancements in AI affected the choice of specialty of around a quarter of the students (26.8%). Finally, only a quarter of students (26.5%) want to be assessed by AI, even though the majority (57.7%) reported that assessment by AI is more objective.ConclusionsEducation about AI should be incorporated in the medical school curriculum to improve the knowledge and attitudes of medical students. Improving AI knowledge in medical students will in turn increase acceptance of AI as a tool in medical education, thus unlocking its potential in revolutionizing medical education. artificial intelligence medical education medical student choice of specialty medical curriculum Electronic computers. Computer science Darine Daher verfasserin aut Nadim-Nicolas Ghanem verfasserin aut Beatrice Khater verfasserin aut In Frontiers in Artificial Intelligence Frontiers Media S.A., 2019 5(2022) (DE-627)1047358654 (DE-600)2957496-1 26248212 nnns volume:5 year:2022 https://doi.org/10.3389/frai.2022.1015418 kostenfrei https://doaj.org/article/77a0494a5abc4b5c86d98aba7bb6e42b kostenfrei https://www.frontiersin.org/articles/10.3389/frai.2022.1015418/full kostenfrei https://doaj.org/toc/2624-8212 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2022
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It also explores the students' perspectives regarding the role of AI in medical education as a subject in the curriculum and a teaching tool.MethodsThis is a cross-sectional study using an online survey consisting of close-ended questions. The survey targets medical students at all medical levels across the 7 medical schools in Lebanon.ResultsA total of 206 medical students responded. When assessing AI knowledge sources (81.1%) got their information from the media as compared to (9.7%) from medical school curriculum. However, Students who learned the basics of AI as part of the medical school curriculum were more knowledge about AI than their peers who did not. Students in their clinical years appear to be more knowledgeable about AI in medicine. The advancements in AI affected the choice of specialty of around a quarter of the students (26.8%). Finally, only a quarter of students (26.5%) want to be assessed by AI, even though the majority (57.7%) reported that assessment by AI is more objective.ConclusionsEducation about AI should be incorporated in the medical school curriculum to improve the knowledge and attitudes of medical students. 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author	George Doumat
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topic_title	QA75.5-76.95 Knowledge and attitudes of medical students in Lebanon toward artificial intelligence: A national survey study artificial intelligence medical education medical student choice of specialty medical curriculum
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title_sort	knowledge and attitudes of medical students in lebanon toward artificial intelligence: a national survey study
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title_auth	Knowledge and attitudes of medical students in Lebanon toward artificial intelligence: A national survey study
abstract	PurposeThis study assesses the knowledge and attitudes of medical students in Lebanon toward Artificial Intelligence (AI) in medical education. It also explores the students' perspectives regarding the role of AI in medical education as a subject in the curriculum and a teaching tool.MethodsThis is a cross-sectional study using an online survey consisting of close-ended questions. The survey targets medical students at all medical levels across the 7 medical schools in Lebanon.ResultsA total of 206 medical students responded. When assessing AI knowledge sources (81.1%) got their information from the media as compared to (9.7%) from medical school curriculum. However, Students who learned the basics of AI as part of the medical school curriculum were more knowledge about AI than their peers who did not. Students in their clinical years appear to be more knowledgeable about AI in medicine. The advancements in AI affected the choice of specialty of around a quarter of the students (26.8%). Finally, only a quarter of students (26.5%) want to be assessed by AI, even though the majority (57.7%) reported that assessment by AI is more objective.ConclusionsEducation about AI should be incorporated in the medical school curriculum to improve the knowledge and attitudes of medical students. Improving AI knowledge in medical students will in turn increase acceptance of AI as a tool in medical education, thus unlocking its potential in revolutionizing medical education.
abstractGer	PurposeThis study assesses the knowledge and attitudes of medical students in Lebanon toward Artificial Intelligence (AI) in medical education. It also explores the students' perspectives regarding the role of AI in medical education as a subject in the curriculum and a teaching tool.MethodsThis is a cross-sectional study using an online survey consisting of close-ended questions. The survey targets medical students at all medical levels across the 7 medical schools in Lebanon.ResultsA total of 206 medical students responded. When assessing AI knowledge sources (81.1%) got their information from the media as compared to (9.7%) from medical school curriculum. However, Students who learned the basics of AI as part of the medical school curriculum were more knowledge about AI than their peers who did not. Students in their clinical years appear to be more knowledgeable about AI in medicine. The advancements in AI affected the choice of specialty of around a quarter of the students (26.8%). Finally, only a quarter of students (26.5%) want to be assessed by AI, even though the majority (57.7%) reported that assessment by AI is more objective.ConclusionsEducation about AI should be incorporated in the medical school curriculum to improve the knowledge and attitudes of medical students. Improving AI knowledge in medical students will in turn increase acceptance of AI as a tool in medical education, thus unlocking its potential in revolutionizing medical education.
abstract_unstemmed	PurposeThis study assesses the knowledge and attitudes of medical students in Lebanon toward Artificial Intelligence (AI) in medical education. It also explores the students' perspectives regarding the role of AI in medical education as a subject in the curriculum and a teaching tool.MethodsThis is a cross-sectional study using an online survey consisting of close-ended questions. The survey targets medical students at all medical levels across the 7 medical schools in Lebanon.ResultsA total of 206 medical students responded. When assessing AI knowledge sources (81.1%) got their information from the media as compared to (9.7%) from medical school curriculum. However, Students who learned the basics of AI as part of the medical school curriculum were more knowledge about AI than their peers who did not. Students in their clinical years appear to be more knowledgeable about AI in medicine. The advancements in AI affected the choice of specialty of around a quarter of the students (26.8%). Finally, only a quarter of students (26.5%) want to be assessed by AI, even though the majority (57.7%) reported that assessment by AI is more objective.ConclusionsEducation about AI should be incorporated in the medical school curriculum to improve the knowledge and attitudes of medical students. Improving AI knowledge in medical students will in turn increase acceptance of AI as a tool in medical education, thus unlocking its potential in revolutionizing medical education.
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title_short	Knowledge and attitudes of medical students in Lebanon toward artificial intelligence: A national survey study
url	https://doi.org/10.3389/frai.2022.1015418 https://doaj.org/article/77a0494a5abc4b5c86d98aba7bb6e42b https://www.frontiersin.org/articles/10.3389/frai.2022.1015418/full https://doaj.org/toc/2624-8212
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It also explores the students' perspectives regarding the role of AI in medical education as a subject in the curriculum and a teaching tool.MethodsThis is a cross-sectional study using an online survey consisting of close-ended questions. The survey targets medical students at all medical levels across the 7 medical schools in Lebanon.ResultsA total of 206 medical students responded. When assessing AI knowledge sources (81.1%) got their information from the media as compared to (9.7%) from medical school curriculum. However, Students who learned the basics of AI as part of the medical school curriculum were more knowledge about AI than their peers who did not. Students in their clinical years appear to be more knowledgeable about AI in medicine. The advancements in AI affected the choice of specialty of around a quarter of the students (26.8%). Finally, only a quarter of students (26.5%) want to be assessed by AI, even though the majority (57.7%) reported that assessment by AI is more objective.ConclusionsEducation about AI should be incorporated in the medical school curriculum to improve the knowledge and attitudes of medical students. 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