Almuhanna Afnan, Almohsen Danyah, AlSultan Deem, Alhuraish Deemah, AlRatrout Farah, Alzanadi Rabab, Abbas Rana
Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Batterjee Medical College, Jeddah, Saudi Arabia.
J Med Educ Curric Dev. 2025 Jul 20;12:23821205251358005. doi: 10.1177/23821205251358005. eCollection 2025 Jan-Dec.
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.
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.
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.
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.
远程放射学和人工智能（AI）已成为协助医护人员进行疾病诊断、治疗和预防的重要工具。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。本研究深入探讨了阿卜杜勒拉赫曼大学（IAU）医学生对人工智能和远程放射学作用的看法。研究结果还揭示了IAU医学生对人工智能可能增强和取代放射科医生的观点。
2023年8月，在沙特阿拉伯东部地区的阿卜杜勒拉赫曼·本·费萨尔大学（IAU）对292名医学生和实习生进行了一项横断面研究，回复率为65.2%。数据通过在线自填问卷收集。采用卡方检验评估人口统计学因素与对人工智能和远程放射学看法之间的关联。由于该研究是在单一机构进行的，研究结果可能无法推广到沙特阿拉伯的所有医学生。来自其他课程设置不同且接触人工智能/远程放射学程度不同的大学的学生可能有不同的看法。建议未来进行多中心研究以提供更广泛的视角。此外，自我报告的数据容易受到回应偏差的影响，因为参与者可能会提供他们认为在社会上可取的答案，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，并鼓励学生诚实地回答。然而，偏差的可能性无法消除。
研究得出结论，65.2%的人认为放射科医生应该接受人工智能。此外，56.1%的人同意人工智能将增强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%的人同意仅人工智能的影响将减少该领域所需的放射科医生数量。
医学生对人工智能在增强或取代放射科医生方面的作用表达了不同的意见。至于远程放射学，结果很有希望，因为学生们表现出兴趣和乐观的看法。了解并应对未来医生的这些看法对于培养一支能够驾驭技术含量更高的医疗环境变革之旅的强大放射科劳动力队伍至关重要。
