Impact of artificial intelligence on the choice of radiology as a specialty by medical students from the city of São Paulo

Brandes, Gabriela Irene Garcia; D'Ippólito, Giuseppe; Azzolini, Anderson Gusatti; Meirelles, Gustavo de Souza Portes

doi:10.1590/0100-3984.2019.0101

Cited by 27 publications

(37 citation statements)

References 10 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%

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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%

“… 9,14–18 Misunderstanding about the effect of AI on radiology may discourage medical students from considering radiology as a specialty. 14 Previous studies in the same subject from Canada, 14 Germany, 19 UK 20 , and Brazil 21 concluded that AI played a negative role in medical students’ choice for radiology.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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“…However, they also felt that AI will play an integral role in delivering medical services in the future, which may reflect that early teaching about AI in the medical curriculum shall be inculcated to spark an interest in this upcoming field. Several studies had conflicting findings of the perception of medical students about whether AI will replace humans in a medical specialty, here radiology [15,[18][19][20]. Although, in our study, the majority of students agree that AI will not replace physicians in the future, it is recommended to pursue positive efforts in spreading awareness about AI so that misinformation and human hesitancy can be reduced.…”

Section: Discussioncontrasting

confidence: 54%

Differences in Knowledge and Perspectives on the Usage of Artificial Intelligence Among Doctors and Medical Students of a Developing Country: A Cross-Sectional Study

Kansal¹,

Bawa²,

Bansal³

et al. 2022

Cureus

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IntroductionRapid advancements are being made in the field of Artificial Intelligence (AI) to support digital healthcare transformation and provide evidence-based care. The aim of this cross-sectional study was to evaluate the knowledge of basic principles, limitations, and applications of AI in healthcare among medical students and doctors of a developing country. MethodsTwo free webinars were hosted for doctors and medical students in northern India (Punjab state) to create awareness about the role of AI in healthcare and the recent advancements made in various medical specialties. The delegates' perceptions about their knowledge and interest in AI were ascertained using the Likert scale (1 = low, 5 = high) in the post-event questionnaire. Using Chi-square and cross-tabulation analysis, associations were examined between knowledge of AI, gender, medical experience, and other variables. ResultsOut of the total of 621 registrants, 367 filled the post-event questionnaire and were included in the analysis. Although the majority felt that AI will play an important role in delivering healthcare services in the future (74.4%), they did not feel knowledgeable about the applications (79.6%) and limitations of AI (82.8%). A relatively lesser proportion of doctors (51.6%) felt interested to learn more about AI than medical students (69.3%). Furthermore, a lesser proportion of doctors (65.2%) felt that AI will be beneficial for their career as a doctor as compared with medical students (84.4%). The majority of medical students (83.5%) had never attended any webinar/lecture or course on AI in healthcare and felt that they have received minimal advice (80.7%) from their medical school on teaching about AI and its applications. A significantly (P = 0.001) higher proportion of female medical students were unknowledgeable about the principles and applications of AI than male respondents. However, female medical students were significantly (P = 0.004) more interested than male medical students to learn about AI. ConclusionsFormal training courses to teach about AI should be focused on to facilitate coherent and scientifically supported dissemination of knowledge in medical schools and hospitals. Further large-scale studies are needed to understand the perception and attitude of medical students and doctors regarding AI to steer policy development and medical education curriculum changes to spark an interest in emerging technologies and drive innovation.

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“…A few other studies have explored the views of medical students on AI including a narrow investigation on specific subspecialties (10,14,30,31). However, the novelty of our work is rooted in our focus on AI in both Medicine and Dentistry rather than in subspeciality such as radiology.…”

Section: Study Position Compared To the Current Body Of Evidencementioning

confidence: 99%

Artificial Intelligence in Medicine: A Multinational Multi-Center Survey on the Medical and Dental Students' Perception

Bisdas

Topriceanu

Zakrzewska

et al. 2021

Front. Public Health

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Background: The emerging field of artificial intelligence (AI) will probably affect the practice for the next generation of doctors. However, the students' views on AI have not been largely investigated.Methods: An anonymous electronic survey on AI was designed for medical and dental students to explore: (1) sources of information about AI, (2) AI applications and concerns, (3) AI status as a topic in medicine, and (4) students' feelings and attitudes. The questionnaire was advertised on social media platforms in 2020. Security measures were employed to prevent fraudulent responses. Mann-Whitney U-test was employed for all comparisons. A sensitivity analysis was also performed by binarizing responses to express disagreement and agreement using the Chi-squared test.Results: Three thousand one hundred thirty-three respondents from 63 countries from all continents were included. Most respondents reported having at least a moderate understanding of the technologies underpinning AI and of their current application, with higher agreement associated with being male (p < 0.0001), tech-savvy (p < 0.0001), pre-clinical student (p < 0.006), and from a developed country (p < 0.04). Students perceive AI as a partner rather than a competitor (72.2%) with a higher agreement for medical students (p = 0.002). The belief that AI will revolutionize medicine and dentistry (83.9%) with greater agreement for students from a developed country (p = 0.0004) was noted. Most students agree that the AI developments will make medicine and dentistry more exciting (69.9%), that AI shall be part of the medical training (85.6%) and they are eager to incorporate AI in their future practice (99%).Conclusion: Currently, AI is a hot topic in medicine and dentistry. Students have a basic understanding of AI principles, a positive attitude toward AI and would like to have it incorporated into their training.

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Impact of artificial intelligence on the choice of radiology as a specialty by medical students from the city of São Paulo

Cited by 27 publications

References 10 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?

Differences in Knowledge and Perspectives on the Usage of Artificial Intelligence Among Doctors and Medical Students of a Developing Country: A Cross-Sectional Study

Artificial Intelligence in Medicine: A Multinational Multi-Center Survey on the Medical and Dental Students' Perception

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