Medical Student’s Attitudes and Perceptions Toward Artificial Intelligence Applications
Metadatos
Mostrar el registro completo del ítemAutor
Ali A., Al Ali Meshari; Alhadlaq, Faisal Ahmad; Alabdullatif, Ghaith Saleh; Basalem, Abdulaziz Abdullah; Almaziad, Aljoharah Abdullah; Mahjari, Ahood Ahmad; Almazyad, Ibrahim AbdullahEditorial
Universidad de Granada
Materia
Artificial Attitudes Intelligence Medical Students Perceptions
Fecha
2022-12-01Referencia bibliográfica
AlAli Meshari Ali A... [et al.] (2022). Medical student’s attitudes and perceptions toward artificial intelligence applications Journal for Educators, Teachers and Trainers,Vol. 13(5). 181-187. DOI: [10.47750/jett.2022.13.05.017]
Resumen
To evaluate medical students' perceptions in radiology and medical applications of artificial
intelligence (AI). Students at 10 prestigious medical schools were issued an online survey that was
created using Survey Monkey. It was divided into many parts with the goal of assessing the students'
past understanding of AI in radiology and beyond as well as their attitudes about AI in medicine
more generally. Anonymity of the respondents was protected. A total of 263 students—166 female
and 94 male—with a median age of 23—replied to the survey. Concerning 52 percent of respondents
were aware of the current debate about AI in radiology, while 68 percent said they were ignorant of
the underlying technology. abnormalities in radiological scans, but they believed that AI would not
be able to provide a definitive diagnosis (56 percent). In contrast to claims that human radiologists
would be displaced, the majority (77 percent and 86 percent) believed that AI would revolutionize
and enhance radiology (83 percent). Over two-thirds of respondents felt that medical education must
include AI (71 percent). Male and tech-savvy respondents had higher levels of confidence in the
advantages of AI and lower levels of fear of these technologies in sub-group analyses. In conclusion,
Contrary to what has been mentioned in the media, medical students are aware of the possible
applications and effects of AI on radiology and medicine and do not worry that it will replace human
radiologists. The situations in which artificial intelligence has reportedly substituted human
radiologists are known to medical students. Since it is their duty, the field of radiology must take the
initiative in teaching students about these freshly developed tools.