Knowledge and attitude of medical students towards artificial intelligence in ophthalmology in Riyadh, Saudi Arabia: A cross-sectional study

Zainudheen Faroog, Q. Dirar, Abdul Rehman Zia Zaidi, Mohammad Salman Khan, Golam Mahamud, Saad Rahman Ambia, Salwa Alhazzaa
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Abstract

The use of artificial intelligence (AI) in ophthalmology represents a transformative leap in healthcare. AI-powered technologies, such as machine learning and computer vision, enhance the accuracy and efficiency of ophthalmic diagnosis and treatment. This study aimed to determine medical students’ awareness and attitudes towards the use of artificial intelligence in ophthalmology. This cross-sectional, questionnaire-based study was conducted between November 2022 and January 2023 using online questionnaires. Data collection was carried out using convenience sampling among medical students at the University. IBM SPSS version 23 was used to analyze the data. The current finding shows that most of the participants N=309 (89.6%) had heard of the use of AI in medicine, and N=294 (85.2%) heard of the use of AI in ophthalmology. 98.6% (n=340) of respondents believed AI would be a helpful tool in ophthalmology. Along this line of questioning, a significant majority of respondents, 332 (96.2%) selected screening, 332 (96.2%) selected diagnosis, and 293 (84.9%) selected prevention as a usage of AI ophthalmology. However, the majority, 76.5%) of students had little understanding of the development of AI in ophthalmology. In addition, a significant relationship between sex, academic year, cumulative GPA (cGPA), and awareness of AI in ophthalmology (P<0.001) was found in this study. Overall, medical students in Saudi Arabia appear to have favorable thoughts about AI and positive perceptions towards AI in ophthalmology. However, the findings of this study emphasize the limited understanding and low confidence levels of medical students in Saudi Arabia regarding the use of AI in ophthalmology. As a result, early exposure to AI-related materials in medical curricula is crucial for addressing these challenges through comprehensive AI education and practical exposure to prepare future ophthalmologists.
沙特阿拉伯利雅得医科学生对眼科人工智能的认识和态度:横断面研究
人工智能(AI)在眼科领域的应用是医疗保健领域的一次变革性飞跃。机器学习和计算机视觉等人工智能技术可提高眼科诊断和治疗的准确性和效率。 本研究旨在了解医学生对人工智能在眼科中应用的认识和态度。 这项基于问卷的横断面研究于 2022 年 11 月至 2023 年 1 月期间进行,采用在线问卷调查的方式。数据收集采用便利抽样法,在该大学的医学生中进行。数据采用 IBM SPSS 23 版进行分析。 目前的调查结果显示,大多数参与者N=309(89.6%)听说过人工智能在医学中的应用,N=294(85.2%)听说过人工智能在眼科中的应用。98.6%(n=340)的受访者认为人工智能将是眼科领域的一个有用工具。根据这一提问思路,绝大多数受访者(332 人(96.2%))选择筛查、332 人(96.2%)选择诊断、293 人(84.9%)选择预防作为人工智能眼科的用途。然而,大多数学生(76.5%)对眼科人工智能的发展了解甚少。此外,本研究还发现,性别、学年、累计平均学分绩点(cGPA)与对眼科人工智能的认识之间存在明显关系(P<0.001)。 总体而言,沙特阿拉伯的医学生似乎对人工智能抱有好感,并对眼科人工智能有积极的看法。然而,本研究的结果表明,沙特阿拉伯的医学生对人工智能在眼科中的应用了解有限,信心不足。因此,通过全面的人工智能教育和实际接触来培养未来的眼科医生,在医学课程中尽早接触人工智能相关材料对于应对这些挑战至关重要。
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