Perception of Medical Students about Artificial Intelligence Use in Radiology
DOI:
https://doi.org/10.48047/CU/54/03/952-965Abstract
Objective: The study aimed at evaluation of the perception of medical students regarding impact of AI on radiology.
Study Design: Cross-sectional study.
Place and Duration of Study: Northern Border University (NBU), Arar, Saudi Arabia from 6th January 2024 to 6th March 2024.
Methodology: The study was conducted among the medical students of clinical years at NBU, Arar. After taking their consents, the students were asked to fill a pre-designed online questionnaire. The data collected from the online questionnaire was evaluated using Statistical Package of Social Sciences Version 20. The continuous data was analyzed with the help of Student’s t-test while
Pearson’s Chi-square was applied on nominal data. P value of <0.05 was considered significant.
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References
S40; Hamet P, Tremblay JJM. Artificial intelligence in medicine. Metabolism, 2017;69:S36
https://doi.org/10.1016/j.metabol.2017.01.011.
Eiroa D, Antolín A, Fernández del Castillo Ascanio M, Pantoja Ortiz V, Escobar M, Roson NJIiI. The current state of knowledge on imaging informatics: a survey among Spanish radiologists. Insights into imaging, 2022;13(1):34, https://doi.org/10.1186/s13244-022-01164-0.
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