Alkhayat Duaa S, Alsubaiyi Hind N, Alharbi Yara A, Alkahtani Lina M, Akhwan Afnan M, Alharbi Alhanouf A
Department of Medicine, Taibah University, Madina, Saudi Arabia.
Medicine and Surgery Department, College of Medicine, Taibah University, Madina, Saudi Arabia.
J Med Educ Curric Dev. 2025 May 14;12:23821205251340129. doi: 10.1177/23821205251340129. eCollection 2025 Jan-Dec.
The objective of this cross-sectional study is to investigate medical students' and interns' perspectives on AI and the influence that AI has on medical education in the western region of Saudi Arabia. The objectives include determining the awareness of medical students, the various uses of AI in medical education, and recognizing both the positive and negative effects on educational settings.
This is a cross-sectional study, using a validated online questionnaire that was distributed to undergraduate medical students as well as medical interns.
A total of 375 medical students and interns have filled out the surveys. We found that the majority of participants, specifically 346 individuals (92.3%), were acquainted with the notion, whereas only 29 participants (7.7%) had no understanding of it. A substantial number of participants, 153 (40.8%), indicated favorable opinions regarding the impact of AI on their educational experience, while 158 (42.1%) were unfavorable, and 64 (17.1%) remained neutral. However, 125 individuals (33.3%) disagreed with the assertion on that "I believe AI can have a negative impact on medical education," while the majority 129 (34.4%) remained neutral, and 121 (32.3%) expressed a positive opinion. When queried about the potential impact of AI on regular clinical practice in the future, a majority of 217 individuals (57.9%) expressed agreement. By comparison, a total of 142 participants, accounting for 37.9% of the sample, indicated uncertainty, while a mere 16 participants held the belief that AI will not have a significant impact in the future.
These findings can assist educational institutions and policymakers in adapting curricula and resources to maximize the benefits of AI in medical education while addressing any potential concerns that may arise as a result of its use.
本横断面研究的目的是调查沙特阿拉伯西部地区医学生和实习生对人工智能的看法以及人工智能对医学教育的影响。目标包括确定医学生的认知程度、人工智能在医学教育中的各种用途,以及认识到其对教育环境的积极和消极影响。
这是一项横断面研究,使用经过验证的在线问卷,分发给本科医学生和医学实习生。
共有375名医学生和实习生填写了调查问卷。我们发现,大多数参与者,具体为346人(92.3%),熟悉这一概念,而只有29名参与者(7.7%)不了解。相当多的参与者,153人(40.8%),对人工智能对其教育经历的影响表示赞同,而158人(42.1%)持反对意见,64人(17.1%)保持中立。然而,125人(33.3%)不同意“我认为人工智能会对医学教育产生负面影响”这一说法,而大多数人129人(34.4%)保持中立,121人(32.3%)表达了积极看法。当被问及人工智能未来对常规临床实践的潜在影响时,大多数217人(57.9%)表示认同。相比之下,共有142名参与者,占样本的37.9%,表示不确定,而只有16名参与者认为人工智能未来不会产生重大影响。
这些发现可帮助教育机构和政策制定者调整课程和资源,以最大限度地发挥人工智能在医学教育中的益处,同时解决因使用人工智能可能产生的任何潜在问题。