Attitudes and Awareness of Medical Students Toward Teleradiology and the Application of Artificial Intelligence in Diagnostic Radiology: A Cross-Sectional Study.

IF 1.6 Q2 EDUCATION, SCIENTIFIC DISCIPLINES
Afnan Almuhanna, Danyah Almohsen, Deem AlSultan, Deemah Alhuraish, Farah AlRatrout, Rabab Alzanadi, Rana Abbas
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引用次数: 0

Abstract

Rationale and objectives: Teleradiology and artificial intelligence (AI) have emerged as important tools for facilitating healthcare workers in diagnosing, treating, and preventing diseases. They can also be used in the analysis of X-ray images, magnetic resonance imaging, and computed tomography scans. This study delves into the perceptions of medical students at Imam Abdulrahman University (IAU) regarding the role of AI and teleradiology. The findings also shed light on the opinions of medical students at the IAU regarding the potential augmentation and replacement of radiologists with AI.

Materials and methods: A cross-sectional study was conducted in August 2023 among 292 medical students and interns at Imam Abdulrahman bin Faisal University (IAU), Eastern region, Saudi Arabia, with a response rate of 65.2%. Data were collected using an online self-administered questionnaire. The Chi-square test was applied to evaluate the association between demographic factors and perceptions of AI and teleradiology. Since the study was conducted at a single institution, the findings may not be generalizable to all medical students in Saudi Arabia. Students from other universities with different curricula and exposure to AI/teleradiology may have different perceptions. Future multicenter studies are recommended to provide a broader perspective. Additionally, self-reported data are susceptible to response bias, as participants may provide answers they perceive as socially desirable rather than their true opinions. To minimize this, the questionnaire was anonymous, and students were encouraged to answer honestly. However, the possibility of bias cannot be eliminated.

Results: The study concluded that 65.2% believed that radiologists should embrace AI. Moreover, 56.1% agreed that the AI would augment the radiologist's capability and efficiency. However, 46.2% believed that teleradiology could replace radiologists working at the hospital, and 42.5% agreed that the impact of AI alone would reduce the number of radiologists needed in the field.

Conclusion: Medical students expressed different opinions on the role of AI in augmenting or replacing radiologists. As for teleradiology, the results were promising as students showed interest and optimistic views. Understanding and addressing these perceptions from our future physicians is crucial for developing a strong radiology workforce capable of navigating the transformative journey of a more technological healthcare environment.

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医学生对远程放射学的态度和认识及人工智能在诊断放射学中的应用:一项横断面研究。
基本原理和目标:远程放射学和人工智能(AI)已经成为促进卫生保健工作者诊断、治疗和预防疾病的重要工具。它们还可用于分析x射线图像、磁共振成像和计算机断层扫描。本研究深入探讨了伊玛目阿卜杜勒拉赫曼大学(IAU)医学生对人工智能和远程放射学的作用的看法。研究结果还揭示了国际医学联合会医学生对人工智能可能增强和取代放射科医生的看法。材料与方法:于2023年8月对沙特阿拉伯东部伊玛目阿卜杜勒拉赫曼·本·费萨尔大学(IAU) 292名医学生和实习生进行了横断面研究,回复率为65.2%。数据是通过在线自我管理问卷收集的。采用卡方检验评估人口统计学因素与人工智能和远程放射学认知之间的关系。由于该研究是在单一机构进行的,因此研究结果可能无法推广到沙特阿拉伯的所有医科学生。来自其他大学的不同课程和接触人工智能/远程放射学的学生可能有不同的看法。建议未来的多中心研究提供更广阔的视角。此外,自我报告的数据容易受到反应偏差的影响,因为参与者可能会提供他们认为社会理想的答案,而不是他们的真实意见。为了尽量减少这种情况,问卷是匿名的,并鼓励学生诚实回答。然而,偏见的可能性无法消除。结果:研究得出结论,65.2%的人认为放射科医生应该拥抱人工智能。此外,56.1%的人认为人工智能将提高放射科医生的能力和效率。然而,46.2%的人认为远程放射学可以取代在医院工作的放射科医生,42.5%的人认为仅人工智能的影响就会减少该领域对放射科医生的需求。结论:医学生对人工智能在辅助或替代放射科医师中的作用表达了不同的看法。至于电视放射学,由于学生表现出兴趣和乐观的态度,结果令人鼓舞。了解和解决未来医生的这些看法对于培养一支强大的放射学员工队伍至关重要,这支队伍能够在更加技术化的医疗环境中进行变革。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Medical Education and Curricular Development
Journal of Medical Education and Curricular Development EDUCATION, SCIENTIFIC DISCIPLINES-
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62
审稿时长
8 weeks
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