Al-Roomi Khaldoon, Alzayani Salman, Almarabheh Amer, Alqahtani Mohamed, Aldosari Fatmah, Aladwani Muneerah, Aldeyouli Noor, Alhobail Rahaf, Atwa Hany, Deifalla Abdelhalim
Department of Family and Community Medicine, Arabian Gulf University, Manama, BHR.
Department of Medical Education, Arabian Gulf University, Manama, BHR.
Cureus. 2024 Nov 11;16(11):e73425. doi: 10.7759/cureus.73425. eCollection 2024 Nov.
Background and aim Medical students are expected to be familiar with artificial intelligence (AI) applications in healthcare. This cross-sectional study looked at the attitudes, thoughts, and understanding of healthcare students toward AI. Materials and methods During the academic year 2023-2024, medical students enrolled in the College of Medicine and Health Sciences (CMHS) at the Arabian Gulf University (AGU) were included in this study. A questionnaire was developed to evaluate their understanding and opinions regarding the use of AI in medical training. These data were gathered, categorized, and analyzed using the Statistical Package for Social Sciences (SPSS) version 29 (IBM Corp., Armonk, NY, US). Categorical variables were shown in the form of frequencies and percentages, whereas continuous variables were presented as mean and standard deviation (SD). Chi-square tests were utilized for comparing categorical variables. A p-value of <0.05 was considered statistically significant. Results The study found that n=41 (27%) of medical students are very familiar with AI applications while n=92 (60.5%) are somewhat familiar. Familiarity increases as students progress in their medical education, with senior clinical phase students more familiar than juniors. There was no significant difference in perceptions of AI application among medical phases. Familiarity with research methodology and studies increases familiarity with AI applications. Most students believe AI will have a positive impact on medical education, but perceptions vary by educational phase. Many students support integrating AI into curricula with 67 (44.1%) of students using AI applications, with a higher percentage in pre-clinical phases, likely due to application in research projects in this phase. Concerns were raised about AI impacting the human touch in medical practice and doctor-patient communication, as well as technical challenges faced by students when applying AI. Conclusion Arab Gulf medical students show positive attitudes toward AI applications in medical education. Tailored educational strategies are needed to optimize AI integration in medical practice and address concerns effectively.
背景与目的 医学生应熟悉人工智能（AI）在医疗保健中的应用。本横断面研究考察了医学生对AI的态度、想法和理解。
材料与方法 在2023 - 2024学年，阿拉伯海湾大学（AGU）医学院与健康科学学院（CMHS）的医学生被纳入本研究。编制了一份问卷，以评估他们对AI在医学培训中应用的理解和看法。这些数据使用社会科学统计软件包（SPSS）第29版（美国纽约州阿蒙克市IBM公司）进行收集、分类和分析。分类变量以频率和百分比的形式呈现，而连续变量则以均值和标准差（SD）表示。采用卡方检验比较分类变量。p值<0.05被认为具有统计学意义。
结果 研究发现，41名（27%）医学生对AI应用非常熟悉，而92名（60.5%）医学生有点熟悉。随着医学生医学教育的推进，熟悉程度增加，临床高年级学生比低年级学生更熟悉。不同医学阶段对AI应用的认知没有显著差异。对研究方法和研究的熟悉程度增加了对AI应用的熟悉程度。大多数学生认为AI将对医学教育产生积极影响，但不同教育阶段的看法有所不同。许多学生支持将AI纳入课程，67名（44.1%）学生使用AI应用，临床前阶段的比例更高，这可能是因为该阶段在研究项目中的应用。有人担心AI会影响医疗实践中的人文关怀和医患沟通，以及学生在应用AI时面临的技术挑战。
结论 阿拉伯海湾地区的医学生对AI在医学教育中的应用表现出积极态度。需要制定有针对性的教育策略，以优化AI在医学实践中的整合并有效解决相关问题。
