Artificial Intelligence: Medical Student S Attitude in District Peshawar Pakistan

Abid, Saima; Awan, Baber; Ismail, Tauseef; Sarwar, Naveeda; Sarwar, Ghulam; Tariq, Muhammad; Naz, Saira; Ahmed, Adnan; Farhan, M. S. Amir; Uzair, Mohammad; Kumar, Aweenash; Iqbal, Ushna; Khan, Ajmal; Attiq-ur-Rehman,

doi:10.32413/pjph.v9i1.295

Cited by 31 publications

(47 citation statements)

References 8 publications

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“…Our findings support other studies demonstrating that few students or faculty report having a basic understanding of the AI technologies. 16 - 18 But both faculty and students have a great interest in AI training on different topics. Similar findings reported by other researchers with medical students, 16 - 19 residents, physicians 10 , 15 or medical students themselves 4 , 16 indicated respondents recognized the importance of AI technologies in different clinical areas and were keen to engage in training.…”

Section: Discussionmentioning

confidence: 99%

“…[16][17][18] But both faculty and students have a great interest in AI training on different topics. Similar findings reported by other researchers with medical students, [16][17][18][19] residents, physicians 10,15 or medical students themselves 4,16 indicated respondents recognized the importance of AI technologies in different clinical areas and were keen to engage in training. The data provide medical education with the opportunity to integrate AI technologies into their curriculum.…”

Section: Discussionmentioning

confidence: 99%

“…Similar findings were found in a study of a Pakistani medical school where positive attitudes toward AI were observed among medical students. 18 A recent UK study of medical students explored their attitudes toward AI and choice of radiology as a specialty. 19 In general, UK medical students do not feel prepared to practice alongside AI.…”

Section: Introductionmentioning

confidence: 99%

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Are We Ready to Integrate Artificial Intelligence Literacy into Medical School Curriculum: Students and Faculty Survey

Wood

Ange

Miller

2021

Journal of Medical Education and Curricular Development

105

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Background: The effects of Artificial Intelligence (AI) technology applications are already felt in healthcare in general and in the practice of medicine in the disciplines of radiology, pathology, ophthalmology, and oncology. The expanding interface between digital data science, emerging AI technologies and healthcare is creating a demand for AI technology literacy in health professions. Objective: To assess medical student and faculty attitudes toward AI, in preparation for teaching AI foundations and data science applications in clinical practice in an integrated medical education curriculum. Methods: An online 15-question semi-structured survey was distributed among medical students and faculty. The questionnaire consisted of 3 parts: participant’s background, AI awareness, and attitudes toward AI applications in medicine. Results: A total of 121 medical students and 52 clinical faculty completed the survey. Only 30% of students and 50% of faculty responded that they were aware of AI topics in medicine. The majority of students (72%) and faculty (59%) learned about AI from the media. Faculty were more likely to report that they did not have a basic understanding of AI technologies (χ2, P = .031). Students were more interested in AI in patient care training, while faculty were more interested in AI in teaching training (χ2, P = .001). Additionally, students and faculty reported comparable attitudes toward AI, limited AI literacy and time constraints in the curriculum. There is interest in broad and deep AI topics. Our findings in medical learners and teaching faculty parallel other published professional groups’ AI survey results. Conclusions: The survey conclusively proved interest among medical students and faculty in AI technology in general, and in its applications in healthcare and medicine. The study was conducted at a single institution. This survey serves as a foundation for other medical schools interested in developing a collaborative programming approach to address AI literacy in medical education.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Are We Ready to Integrate Artificial Intelligence Literacy into Medical School Curriculum: Students and Faculty Survey

Wood

Ange

Miller

2021

Journal of Medical Education and Curricular Development

105

View full text Add to dashboard Cite

show abstract

“…Artificial intelligence technology has been studied so extensively in ophthalmology that some even have been on the commercializing stage [ 25 ], thus leading to some people believing that AI may be able to replace doctors. Some researchers investigated the attitudes of medical undergraduates to the application of AI in radiology and medicine [ 26 ], the attitudes of medical students in other regions to AI [ 27 ], the influence of artificial intelligence on radiology [ 28 ], as well as how to cope with the ethical challenges in medical AI [ 29 , 30 ], etc. However, few people know about medical workers’ familiarity with and their attitudes toward AI in ophthalmology.…”

Section: Introductionmentioning

confidence: 99%

Attitudes of medical workers in China toward artificial intelligence in ophthalmology: a comparative survey

Zheng

Zhu

et al. 2021

BMC Health Serv Res

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Background In the development of artificial intelligence in ophthalmology, the ophthalmic AI-related recognition issues are prominent, but there is a lack of research into people’s familiarity with and their attitudes toward ophthalmic AI. This survey aims to assess medical workers’ and other professional technicians’ familiarity with, attitudes toward, and concerns about AI in ophthalmology. Methods This is a cross-sectional study design study. An electronic questionnaire was designed through the app Questionnaire Star, and was sent to respondents through WeChat, China’s version of Facebook or WhatsApp. The participation was voluntary and anonymous. The questionnaire consisted of four parts, namely the respondents’ background, their basic understanding of AI, their attitudes toward AI, and their concerns about AI. A total of 562 respondents were counted, with 562 valid questionnaires returned. The results of the questionnaires are displayed in an Excel 2003 form. Results There were 291 medical workers and 271 other professional technicians completed the questionnaire. About 1/3 of the respondents understood AI and ophthalmic AI. The percentages of people who understood ophthalmic AI among medical workers and other professional technicians were about 42.6 % and 15.6 %, respectively. About 66.0 % of the respondents thought that AI in ophthalmology would partly replace doctors, about 59.07 % having a relatively high acceptance level of ophthalmic AI. Meanwhile, among those with AI in ophthalmology application experiences (30.6 %), above 70 % of respondents held a full acceptance attitude toward AI in ophthalmology. The respondents expressed medical ethics concerns about AI in ophthalmology. And among the respondents who understood AI in ophthalmology, almost all the people said that there was a need to increase the study of medical ethics issues in the ophthalmic AI field. Conclusions The survey results revealed that the medical workers had a higher understanding level of AI in ophthalmology than other professional technicians, making it necessary to popularize ophthalmic AI education among other professional technicians. Most of the respondents did not have any experience in ophthalmic AI but generally had a relatively high acceptance level of AI in ophthalmology, and there was a need to strengthen research into medical ethics issues.

show abstract

“…Arti cial intelligence technology has been studied so extensively in ophthalmology that some even have been on the commercializing stage [25], thus leading to some people believing that AI may be able to replace doctors. Some researchers investigated the attitudes of medical undergraduates to the application of AI in radiology and medicine [26], the attitudes of medical students in other regions to AI [27], the in uence of arti cial intelligence on radiology [28], as well as how to cope with the ethical challenges in medical AI [29][30], etc. However, few people know about medical workers' familiarity with and their attitudes toward AI in ophthalmology.…”

Section: Introductionmentioning

confidence: 99%

Attitudes of Medical Workers Toward Artificial Intelligence in Ophthalmology: A Comparative Survey

Zheng¹,

Wu²,

Zhu³

et al. 2021

Preprint

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Background: In the development of artificial intelligence in ophthalmology, the ophthalmic AI-related recognition issues are prominent, but there is a lack of research into people's familiarity with and their attitudes toward ophthalmic AI. This survey aims to assess medical workers’ and other professional technicians’ familiarity with, attitudes toward, and concerns about AI in ophthalmology.Methods: An electronic questionnaire was designed through the app Questionnaire Star, and was sent to participants through WeChat, China’s version of Facebook or WhatsApp. The participation was voluntary and anonymous. The questionnaire consisted of four parts, namely the participant’s background, their basic understanding of AI, their attitudes toward AI, and their concerns about AI. A total of 562 participants were counted, with 562 valid questionnaires returned. The results of the questionnaires are displayed in an Excel 2003 form.Results: A total of 562 participants completed the questionnaire, of whom 291 were medical workers and 271 were other professional technicians. About 1/3 of the participants understood AI and ophthalmic AI. The percentages of people who understood ophthalmic AI among medical workers and other professional technicians were about 42.61% and 15.6%, respectively. About 66.01% of the participants thought that AI in ophthalmology would partly replace doctors, with about 59.07% still having a relatively high acceptance level of ophthalmic AI. Meanwhile, among those with AI in ophthalmology application experiences (30.6%), above 70% of participants held a full acceptance attitude toward AI in ophthalmology. The participants expressed medical ethics concerns about AI in ophthalmology. And among the participants who understood AI in ophthalmology, almost all the people said that there was a need to increase the study of medical ethics issues in the ophthalmic AI field.Conclusions: The survey results revealed that the medical workers had a higher understanding level of AI in ophthalmology than other professional technicians, making it necessary to popularize ophthalmic AI education among other professional technicians. Most of the participants did not have any experience in ophthalmic AI but generally had a relatively high acceptance level of AI in ophthalmology, and there was a need to strengthen research into medical ethics issues of the field.

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Artificial Intelligence: Medical Student S Attitude in District Peshawar Pakistan

Cited by 31 publications

References 8 publications

Are We Ready to Integrate Artificial Intelligence Literacy into Medical School Curriculum: Students and Faculty Survey

Are We Ready to Integrate Artificial Intelligence Literacy into Medical School Curriculum: Students and Faculty Survey

Attitudes of medical workers in China toward artificial intelligence in ophthalmology: a comparative survey

Attitudes of Medical Workers Toward Artificial Intelligence in Ophthalmology: A Comparative Survey

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