Medical Student Perspectives on the Impact of Artificial Intelligence on the Practice of Medicine

Park, Christian; Yi, Paul H.; Siegel, Eliot L.

doi:10.1067/j.cpradiol.2020.06.011

Cited by 71 publications

(73 citation statements)

References 4 publications

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“…The main results of this study are generally in agreement with previously published studies in Canada, 14 Germany, 19 United Kingdom, 20 Brazil 21 and U.S. 24 which concluded that AI has a negative influence on student choice for radiology. This survey was critical to conduct in our country and is still needed to conduct in other parts of the world, in order to understand if the anxiety towards AI exists and to provide a specific recommendation needed by each country or institute since the recommendations provided by earlier studies (including ours) may not be applicable to different populations.…”

Section: Discussionsupporting

confidence: 92%

“…Similarly, in Gong et al’s study, the number of respondents interested in radiology increased from 133 to 160 when asked the same question. 14 About half of students in Sit et al study in the U.K. 20 and in Park et al study in the U.S. 24 stated they will less probably consider radiology due to worries of AI.…”

Section: Discussionmentioning

confidence: 99%

“… 14 Radiology conferences had the most influence on the students in Gong et al study, while medical students and the general media had the least influence. 14 Majority of students in Pintos Dos Santos et al 19 and Park et al 24 studies received their knowledge of AI from social media.…”

Section: Discussionmentioning

confidence: 99%

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Artificial intelligence in radiology: does it impact medical students preference for radiology as their future career?

et al. 2020

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Objective: To test medical students’ perceptions of the impact of artificial intelligence (AI) on radiology and the influence of these perceptions on their choice of radiology as a lifetime career. Methods: A cross-sectional multicenter survey of medical students in Saudi Arabia was conducted in April 2019. Results: Of the 476 respondents, 34 considered radiology their first specialty choice, 26 considered it their second choice, and 65 considered it their third choice. Only 31% believed that AI would replace radiologists in their lifetime, while 44.8% believed that AI would minimize the number of radiologists needed in the future. Approximately 50% believed they had a good understanding of AI; however, when knowledge of AI was tested using five questions, on average, only 22% of the questions were answered correctly. Among the respondents who ranked radiology as their first choice, 58.8% were anxious about the uncertain impact of AI on radiology. The number of respondents who ranked radiology as one of their top three choices increased by 14 when AI was not a consideration. Radiology conferences and the opinions of radiologists had the most influence on the respondents’ preferences for radiology. Conclusion: The worry that AI might displace radiologists in the future had a negative influence on medical students’ consideration of radiology as a career. Academic radiologists are encouraged to educate their students about AI and its potential impact when students are considering radiology as a lifetime career choice. Advances in knowledge: Rapid advances of AI in radiology will certainly impact the specialty, the concern of AI impact on radiology had negative influence in our participants and investing in AI education and is highly recommended.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

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Artificial intelligence in radiology: does it impact medical students preference for radiology as their future career?

et al. 2020

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“…More specific, almost 50% of medical students in a UK study [25], 48% of medical students in a Canadian study [24] and 44% of medical students in a US study [26] stated that they were reluctant to choose radiology as a speciality because they were concerned that AI would sometime displace them. Interestingly, this study showed that the innovations of AI and robotics in medicine make students who were familiar with this concept more enthusiastic about working in specialities that would integrate these advancements in the near future.…”

Section: Discussionmentioning

confidence: 99%

“…A web-based questionnaire was developed utilizing Google Forms to assess the attitude of medical students and faculty toward the importance of AI and robotics in medicine and their potential outcomes in healthcare in the foreseeable future. The questionnaire (available on supplementary material) was designed based on recent references [23][24][25][26] and was evaluated by an AI expert to ensure the clarity and validity of the questions. More specifically, it was comprised of seventeen items collectively, and it was divided into two sections.…”

Section: Questionnairementioning

confidence: 99%

Exploring Medical Students' and Faculty's Perception on Artificial Intelligence and Robotics. A Questionnaire Survey

Sassis¹,

Kefala-Karli²,

Sassi³

et al. 2021

JoAIMS

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Over the last decade, the emerging fields of artificial intelligence (AI) and robotics have been introduced in medicine, gaining much attention. This study aims to assess the insight of medical students and faculty regarding AI and robotics in medicine. A cross-sectional study was conducted among medical students and faculty of the University of Nicosia. An online questionnaire was used to evaluate medical students' and faculty's prior knowledge and perceptions toward AI and robotics. Data analysis was carried out using SPSS software, and the statistical significance was assumed as p value < 0.05. Three hundred eighty-seven medical students and 23 faculty responded to the questionnaire. Students who were "familiar" with AI and robotics stated that these breakthrough technologies make them more enthusiastic about working in their speciality of interest (p value = 0.012). Also, students (59.9%) and faculty (47.8%) agreed that physician's opinion should be followed when doctors' and AI's judgment differ and that the doctor in charge should be liable for possible AI's mistakes (38.8% students: 47.7% faculty). Although the most significant drawback of AI and robotics in healthcare is the dehumanization of medicine (54.5% students; 47.8% faculty), most participants (77.6% students; 78.2% faculty) agreed that medical schools should include in their curriculum AI and robotics by offering relevant courses (39.5% students; 52.2% faculty). Medical students and faculty are not anxious about the advancements of AI and robotics in medicine. Medical schools should take the lead and introduce AI and robotics in undergraduate medical curricula because the new era needs fully aware healthcare providers with better insight regarding these concepts.

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Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: A systematic review

Baigi

Sarbaz

Ghaddaripouri

et al. 2023

Health Science Reports

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Background and Aims: This systematic review examined healthcare students' attitudes, knowledge, and skill in Artificial Intelligence (AI).Methods: On August 3, 2022, studies were retrieved from the PubMed, Embase, Scopus, and Web of Science databases. Preferred Reporting Items for Systematic Reviews and Meta-Analyses recommendations were followed. We included crosssectional studies that examined healthcare students' knowledge, attitudes, skills, and perceptions of AI in this review. Using the eligibility requirements as a guide, titles and abstracts were screened. Complete texts were then retrieved and independently reviewed per the eligibility requirements. To collect data, a standardized form was used.Results: Of the 38 included studies, 29 (76%) of healthcare students had a positive and promising attitude towards AI in the clinical profession and its use in he future; however, in nine of the studies (24%), students considered AI a threat to healthcare fields and had a negative attitude towards it. Furthermore, 26 studies evaluated the knowledge of healthcare students about AI. Among these, 18 studies evaluated the level of student knowledge as low (50%). On the other hand, in six of the studies, students' high knowledge of AI was reported, and two of the studies reported average student general knowledge (almost 50%). Of the six studies, four (67%) of the students had very low skills, so they stated that they had never worked with AI. Conclusion:Evidence from this review shows that healthcare students had a positive and promising attitude towards AI in medicine; however, most students had low knowledge and limited skills in working with AI. Face-to-face instruction, training manuals, and detailed instructions are therefore crucial for implementing and comprehending how AI technology works and raising students' knowledge of the advantages of AI.

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Medical Student Perspectives on the Impact of Artificial Intelligence on the Practice of Medicine

Cited by 71 publications

References 4 publications

Artificial intelligence in radiology: does it impact medical students preference for radiology as their future career?

Artificial intelligence in radiology: does it impact medical students preference for radiology as their future career?

Exploring Medical Students' and Faculty's Perception on Artificial Intelligence and Robotics. A Questionnaire Survey

Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: A systematic review

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