Medical student’s attitudes and perceptions toward artificial intelligence applications

Abstract

To evaluate medical students' perceptions in radiology and medical applications of artificial
\nintelligence (AI). Students at 10 prestigious medical schools were issued an online survey that was
\ncreated using Survey Monkey. It was divided into many parts with the goal of assessing the students'
\npast understanding of AI in radiology and beyond as well as their attitudes about AI in medicine
\nmore generally. Anonymity of the respondents was protected. A total of 263 students—166 female
\nand 94 male—with a median age of 23—replied to the survey. Concerning 52 percent of respondents
\nwere aware of the current debate about AI in radiology, while 68 percent said they were ignorant of
\nthe underlying technology. abnormalities in radiological scans, but they believed that AI would not
\nbe able to provide a definitive diagnosis (56 percent). In contrast to claims that human radiologists
\nwould be displaced, the majority (77 percent and 86 percent) believed that AI would revolutionize
\nand enhance radiology (83 percent). Over two-thirds of respondents felt that medical education must
\ninclude AI (71 percent). Male and tech-savvy respondents had higher levels of confidence in the
\nadvantages of AI and lower levels of fear of these technologies in sub-group analyses. In conclusion,
\nContrary to what has been mentioned in the media, medical students are aware of the possible
\napplications and effects of AI on radiology and medicine and do not worry that it will replace human
\nradiologists. The situations in which artificial intelligence has reportedly substituted human
\nradiologists are known to medical students. Since it is their duty, the field of radiology must take the
\ninitiative in teaching students about these freshly developed tools.

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