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

Abstract

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.

Bosses without a heart: socio-demographic and cross-cultural determinants of attitude toward Emotional AI in the workplace

“…Model 10 shows that students who have higher self-rated familiarity with AI tend to view the EAI-enabled HR management more positively (rejecting H5). This result contradicts a Saudi Arabian study of medical students (Bin Dahmash et al 2020 ), which found anxiety toward using AI was correlated with a higher self-perceived understanding of this technology. This divergence with the literature can be explained by the diversity of the surveyed population, of which there are 48 countries in 8 regions and many possible future professions.…”

“…These findings are concurrent with previous studies that have examined the relationship between biometric surveillance and employee trust in the workplace (Rosenblatt 2018 ; Marciano 2019 ; Mateescu and Nguyen 2019 ; Manohka 2020 ). Similarly, a Saudi Arabian study of medical students (Bin Dahmash et al 2020 ) has found anxiety toward using AI was correlated with a higher self-perceived understanding of this technology.…”

My Boss the Computer: A Bayesian analysis of socio-demographic and cross-cultural determinants of attitude toward the Non-Human Resource Management

“…Model 10 shows that students who rate themselves as more familiar with emotional AI tend to view the application of this technology in the workplace more positively. This result contradicts a Saudi Arabian study of medical students (Bin Dahmash et al, 2020), which found anxiety toward using AI was correlated with a higher self-perceived understanding of this technology. This divergence with the literature can be explained by the diversity of the surveyed population, of which there are 48 countries and 8 regions.…”

“…On the other hand, while a survey of 484 responses of 19 UK universities medical students show that a majority of students (88%) will play an important role in healthcare yet, nearly half the respondents express their concern about job loss in radiology due to AI (Sit et al, 2020). However, overall, most medical students' population found students express interest and desire to receive more AI training in their degree (Bin Dahmash et al, 2020;Pinto dos Santos et al, 2019;Sit et al, 2020).…”

My Boss the Computer: A Bayesian analysis of socio-demographic and cross-cultural determinants of attitude toward the Non-Human Resource Management

“…Model 10 shows that students who rate themselves as more familiar with emotional AI tend to view the application of this technology in the workplace more positively. This result contradicts a Saudi Arabian study of medical students (Bin Dahmash et al, 2020), which found 32 anxiety toward using AI was correlated with a higher self-perceived understanding of this technology. This divergence with the literature can be explained by the diversity of the surveyed population, of which there are 48 countries and 8 regions.…”