دوشنبه 27 بهمن 1404
دوره 12، شماره 1 - ( 10-1404 )
جلد 12 شماره 1 صفحات 33-25 |
برگشت به فهرست نسخه ها
Ethics code: IR.GUMS.REC.1403.448
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Saberi A, Norouzy A M, Taheri M, Heidarzadeh A, Rezaei S, Nemati S et al . The Readiness of Guilan University Medical Students Regarding the Use of Artificial Intelligence in Medicine. Caspian J Neurol Sci 2026; 12 (1) :25-33
URL: http://cjns.gums.ac.ir/article-1-817-fa.html
URL: http://cjns.gums.ac.ir/article-1-817-fa.html
The Readiness of Guilan University Medical Students Regarding the Use of Artificial Intelligence in Medicine. مجله علوم اعصاب کاسپین. 1404; 12 (1) :25-33
چکیده: (29 مشاهده)
Background: With the rapid advancement of artificial intelligence (AI) in medicine, the readiness of students to use this technology significantly impacts their acceptance and effective use of AI.
Objectives: This study investigated the preparedness level of medical students of Guilan University of Medical Sciences (GUMS) for applying AI in medical practice.
Materials & Methods: This study was conducted in 2024 on medical students at GUMS. The Persian version of the standard medical artificial intelligence readiness scale for medical students (MAIRS-MS) was used as the data collection tool, which assessed the readiness of students in four domains: Cognitive, ability, attitude, and ethics. Descriptive statistics, t-tests, and Spearman correlation coefficients were used for data analysis.
Results: The average score of total readiness to use for AI was 51.66 out of 110, indicating an average level of readiness. The cognitive and ethics domains had the lowest and highest scores, respectively. The readiness score was related to the educational level, with the physiopathology course having the highest score. Moreover, men obtained higher scores overall and in the ability and attitude domains (P<0.001). Cognitive scores increased with age (P=0.037), but younger students scored higher in the ethics domain (P=0.009).
Conclusion: The readiness of GUMS medical students to use AI was in the medium range, and significant differences were observed based on academic level, gender, and age. It is essential to design structured training courses to improve the abilities of students for the effective use of AI in medical practice.
Objectives: This study investigated the preparedness level of medical students of Guilan University of Medical Sciences (GUMS) for applying AI in medical practice.
Materials & Methods: This study was conducted in 2024 on medical students at GUMS. The Persian version of the standard medical artificial intelligence readiness scale for medical students (MAIRS-MS) was used as the data collection tool, which assessed the readiness of students in four domains: Cognitive, ability, attitude, and ethics. Descriptive statistics, t-tests, and Spearman correlation coefficients were used for data analysis.
Results: The average score of total readiness to use for AI was 51.66 out of 110, indicating an average level of readiness. The cognitive and ethics domains had the lowest and highest scores, respectively. The readiness score was related to the educational level, with the physiopathology course having the highest score. Moreover, men obtained higher scores overall and in the ability and attitude domains (P<0.001). Cognitive scores increased with age (P=0.037), but younger students scored higher in the ethics domain (P=0.009).
Conclusion: The readiness of GUMS medical students to use AI was in the medium range, and significant differences were observed based on academic level, gender, and age. It is essential to design structured training courses to improve the abilities of students for the effective use of AI in medical practice.
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