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Knowledge and perception of medical students towards the use of artificial intelligence in healthcare
To assess the knowledge and perception of medical students regarding the utility and applications of artificial intelligence in medicine. The cross-sectional study was conducted at the Shifa College of Medicine, Islamabad, Pakistan, from February to August 2021, and comprised medical students regard...
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Published in: | Journal of the Pakistan Medical Association 2023-02, Vol.73 (2), p.448-451 |
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container_title | Journal of the Pakistan Medical Association |
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creator | Ahmer, Hania Altaf, Saad Bin Khan, Hamza Mustufa Bhatti, Ibrahim Ahmad Ahmad, Salwan Shahzad, Sanah Naseem, Sajida |
description | To assess the knowledge and perception of medical students regarding the utility and applications of artificial intelligence in medicine.
The cross-sectional study was conducted at the Shifa College of Medicine, Islamabad, Pakistan, from February to August 2021, and comprised medical students regardless of gender or year of studies. Data was collected using a pretested questionnaire. Differences in perceptions were explored relative to gender and the year of studies. Data was analysed using SPSS 23.
Of the 390 participants, 168(43.1%) were males and 222(56.9%) were females. The overall mean age was 20±1.65 years. There were 121(31%) students from the first year of studies, 122(31.3%) second year, 30(7.7%) from third year, 73(18.7%) from fourth year, and 44(11.3%) from the fifth year. Most participants 221(56.7%) had a good familiarity with artificial intelligence, and 226(57.9%) agreed that the biggest advantage of using artificial intelligence in healthcare was its ability to speed up the processes. In terms of gender of year of studies, there were no significant differences on both counts (p>0.05).
Medical students, regardless of age and year of studies, were found to have a good understanding of the usage and application of artificial intelligence in medicine. |
doi_str_mv | 10.47391/JPMA.5717 |
format | article |
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The cross-sectional study was conducted at the Shifa College of Medicine, Islamabad, Pakistan, from February to August 2021, and comprised medical students regardless of gender or year of studies. Data was collected using a pretested questionnaire. Differences in perceptions were explored relative to gender and the year of studies. Data was analysed using SPSS 23.
Of the 390 participants, 168(43.1%) were males and 222(56.9%) were females. The overall mean age was 20±1.65 years. There were 121(31%) students from the first year of studies, 122(31.3%) second year, 30(7.7%) from third year, 73(18.7%) from fourth year, and 44(11.3%) from the fifth year. Most participants 221(56.7%) had a good familiarity with artificial intelligence, and 226(57.9%) agreed that the biggest advantage of using artificial intelligence in healthcare was its ability to speed up the processes. In terms of gender of year of studies, there were no significant differences on both counts (p>0.05).
Medical students, regardless of age and year of studies, were found to have a good understanding of the usage and application of artificial intelligence in medicine.</description><identifier>ISSN: 0030-9982</identifier><identifier>DOI: 10.47391/JPMA.5717</identifier><identifier>PMID: 36800756</identifier><language>eng</language><publisher>Pakistan: Knowledge Bylanes</publisher><subject>Adolescent ; Adult ; Artificial Intelligence ; Cross-Sectional Studies ; Delivery of Health Care ; Female ; Humans ; Male ; Medical laboratory technology ; Medical students ; Medical technology ; Perception ; Students, Medical ; Surveys ; Young Adult</subject><ispartof>Journal of the Pakistan Medical Association, 2023-02, Vol.73 (2), p.448-451</ispartof><rights>COPYRIGHT 2023 Knowledge Bylanes</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,2095,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36800756$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ahmer, Hania</creatorcontrib><creatorcontrib>Altaf, Saad Bin</creatorcontrib><creatorcontrib>Khan, Hamza Mustufa</creatorcontrib><creatorcontrib>Bhatti, Ibrahim Ahmad</creatorcontrib><creatorcontrib>Ahmad, Salwan</creatorcontrib><creatorcontrib>Shahzad, Sanah</creatorcontrib><creatorcontrib>Naseem, Sajida</creatorcontrib><title>Knowledge and perception of medical students towards the use of artificial intelligence in healthcare</title><title>Journal of the Pakistan Medical Association</title><addtitle>J Pak Med Assoc</addtitle><description>To assess the knowledge and perception of medical students regarding the utility and applications of artificial intelligence in medicine.
The cross-sectional study was conducted at the Shifa College of Medicine, Islamabad, Pakistan, from February to August 2021, and comprised medical students regardless of gender or year of studies. Data was collected using a pretested questionnaire. Differences in perceptions were explored relative to gender and the year of studies. Data was analysed using SPSS 23.
Of the 390 participants, 168(43.1%) were males and 222(56.9%) were females. The overall mean age was 20±1.65 years. There were 121(31%) students from the first year of studies, 122(31.3%) second year, 30(7.7%) from third year, 73(18.7%) from fourth year, and 44(11.3%) from the fifth year. Most participants 221(56.7%) had a good familiarity with artificial intelligence, and 226(57.9%) agreed that the biggest advantage of using artificial intelligence in healthcare was its ability to speed up the processes. In terms of gender of year of studies, there were no significant differences on both counts (p>0.05).
Medical students, regardless of age and year of studies, were found to have a good understanding of the usage and application of artificial intelligence in medicine.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Artificial Intelligence</subject><subject>Cross-Sectional Studies</subject><subject>Delivery of Health Care</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Medical laboratory technology</subject><subject>Medical students</subject><subject>Medical technology</subject><subject>Perception</subject><subject>Students, Medical</subject><subject>Surveys</subject><subject>Young Adult</subject><issn>0030-9982</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNptkk2LFDEQhvuguOvqxR8gDYKIMGM6n53jsPixuqIHPYdMpTKTpaczJmkW_73p6XVxQXIoUjz1kjf1Ns2Ljqy5Yrp79_n7181aqE49as4JYWSldU_Pmqc53xBCpSDkSXPGZE-IEvK8wS9jvB3Q7bC1o2uPmACPJcSxjb49oAtghzaXyeFYclvirU2u1j22U8aZsakEHyBULIwFhyHscASsl3aPdih7sAmfNY-9HTI-v6sXzc8P739cflpdf_t4dbm5XgHnsqyctA48Q-7dVlvbod1KDbBVIATRnWLACedUSHCso73mess8AFWiUraT7KK5WnRdtDfmmMLBpt8m2mBOjZh2Zn4vDGgUAaWcs1JJVyWpJb0DBpR63jN60nqzaB1T_DVhLuYQMlSDdsQ4ZUOV6iXphNYVfbWgO1uVw-hjSRZm3GwUE4xzQUWl1v-h6nF4CBBH9KH2Hwy8_mdg-c0ch2leT34Ivl1ASDHnhP7eekfMKRZmjoWZY1Hhl3e-pm1d8D36NxPsD5q8svQ</recordid><startdate>20230201</startdate><enddate>20230201</enddate><creator>Ahmer, Hania</creator><creator>Altaf, Saad Bin</creator><creator>Khan, Hamza Mustufa</creator><creator>Bhatti, Ibrahim Ahmad</creator><creator>Ahmad, Salwan</creator><creator>Shahzad, Sanah</creator><creator>Naseem, Sajida</creator><general>Knowledge Bylanes</general><general>Pakistan Medical Association</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>DOA</scope></search><sort><creationdate>20230201</creationdate><title>Knowledge and perception of medical students towards the use of artificial intelligence in healthcare</title><author>Ahmer, Hania ; Altaf, Saad Bin ; Khan, Hamza Mustufa ; Bhatti, Ibrahim Ahmad ; Ahmad, Salwan ; Shahzad, Sanah ; Naseem, Sajida</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c446t-d6adcf3e4fdb9aa1eab69ccb7c5509173c4044256cd3128949b3fcc2759cca163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Artificial Intelligence</topic><topic>Cross-Sectional Studies</topic><topic>Delivery of Health Care</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Medical laboratory technology</topic><topic>Medical students</topic><topic>Medical technology</topic><topic>Perception</topic><topic>Students, Medical</topic><topic>Surveys</topic><topic>Young Adult</topic><toplevel>online_resources</toplevel><creatorcontrib>Ahmer, Hania</creatorcontrib><creatorcontrib>Altaf, Saad Bin</creatorcontrib><creatorcontrib>Khan, Hamza Mustufa</creatorcontrib><creatorcontrib>Bhatti, Ibrahim Ahmad</creatorcontrib><creatorcontrib>Ahmad, Salwan</creatorcontrib><creatorcontrib>Shahzad, Sanah</creatorcontrib><creatorcontrib>Naseem, Sajida</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Journal of the Pakistan Medical Association</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ahmer, Hania</au><au>Altaf, Saad Bin</au><au>Khan, Hamza Mustufa</au><au>Bhatti, Ibrahim Ahmad</au><au>Ahmad, Salwan</au><au>Shahzad, Sanah</au><au>Naseem, Sajida</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Knowledge and perception of medical students towards the use of artificial intelligence in healthcare</atitle><jtitle>Journal of the Pakistan Medical Association</jtitle><addtitle>J Pak Med Assoc</addtitle><date>2023-02-01</date><risdate>2023</risdate><volume>73</volume><issue>2</issue><spage>448</spage><epage>451</epage><pages>448-451</pages><issn>0030-9982</issn><abstract>To assess the knowledge and perception of medical students regarding the utility and applications of artificial intelligence in medicine.
The cross-sectional study was conducted at the Shifa College of Medicine, Islamabad, Pakistan, from February to August 2021, and comprised medical students regardless of gender or year of studies. Data was collected using a pretested questionnaire. Differences in perceptions were explored relative to gender and the year of studies. Data was analysed using SPSS 23.
Of the 390 participants, 168(43.1%) were males and 222(56.9%) were females. The overall mean age was 20±1.65 years. There were 121(31%) students from the first year of studies, 122(31.3%) second year, 30(7.7%) from third year, 73(18.7%) from fourth year, and 44(11.3%) from the fifth year. Most participants 221(56.7%) had a good familiarity with artificial intelligence, and 226(57.9%) agreed that the biggest advantage of using artificial intelligence in healthcare was its ability to speed up the processes. In terms of gender of year of studies, there were no significant differences on both counts (p>0.05).
Medical students, regardless of age and year of studies, were found to have a good understanding of the usage and application of artificial intelligence in medicine.</abstract><cop>Pakistan</cop><pub>Knowledge Bylanes</pub><pmid>36800756</pmid><doi>10.47391/JPMA.5717</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Artificial Intelligence Cross-Sectional Studies Delivery of Health Care Female Humans Male Medical laboratory technology Medical students Medical technology Perception Students, Medical Surveys Young Adult |
title | Knowledge and perception of medical students towards the use of artificial intelligence in healthcare |
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