Sachs Talia, Michel Stefan, Koziol Katarina, Kunz Alex, Wittek Agnes, Neubauer Ricarda, Klinkhammer Hannah, Weimer Johannes, Strizek Brigitte, Recker Florian
Department of Obstetrics and Prenatal Medicine, University Hospital Bonn, Bonn, Germany.
School for Applied Psychology (APS), University of Applied Sciences and Arts Northwestern Switzerland (FHNW), Olten, Switzerland.
Geburtshilfe Frauenheilkd. 2025 Mar 5;85(3):323-332. doi: 10.1055/a-2510-7185. eCollection 2025 Mar.
Prenatal diagnostics, particularly ultrasound examinations, are vital for monitoring fetal development and detecting potential complications. Traditional ultrasound training often lacks adequate focus on image recognition and interpretation, which are crucial for accurate diagnostics. This study evaluates the effectiveness of the AdaptUS module, a technology-supported, adaptive learning platform designed to enhance ultrasound diagnostic skills in prenatal medicine.
A prospective cross-sectional study was conducted with 76 medical students from the German University Hospital, divided into an intervention group (n = 37) and a control group (n = 39). The intervention group engaged with the AdaptUS module, which adjusts its content based on individual performance. More precisely, it is a learning program for ultrasound images that, while not directly adaptive to the user's skill level, can be considered adaptive in the sense that incorrectly answered images are presented again for re-interpretation. However, the images are currently shown at random and are not yet adjusted to the user's abilities, ensuring that the challenge is consistent but not tailored to skill level. It is important to note that this is not an ultrasound image software, but rather an image interpretation software designed to help users improve their diagnostic skills through repeated exposure to medical images. In contrast, the control group did not receive this training. Both groups were assessed on their ultrasound diagnostic skills at the beginning and end of the semester using a series of 16 questions, which involved interpreting images correctly rather than a standard multiple-choice format. Statistical analysis was performed to compare the pre- and post-test results within and between the groups.
The intervention group showed a significant improvement in their mean test scores, increasing from 70.9% to 86.0% (p < 0.001), while the control group's scores decreased slightly from 62.0% to 59.0%, though this change was not statistically significant. The difference in score improvements between the intervention and control groups was statistically significant (p < 0.001). The feedback from students in the intervention group was overwhelmingly positive, highlighting the system's flexibility in addressing individual learning needs and suggesting its potential for broader integration into medical curricula.
The AdaptUS training module significantly enhances ultrasound diagnostic skills, particularly in prenatal medicine, by providing a personalized learning experience that addresses the gaps in traditional training methods. The success of AdaptUS underscores the importance of integrating adaptive learning technologies into medical education to bridge the gap between theoretical knowledge and practical application. Future research should explore the long-term impact of such training on clinical practice and consider incorporating advanced technologies like virtual reality to further enhance educational outcomes.
产前诊断，尤其是超声检查，对于监测胎儿发育和检测潜在并发症至关重要。传统的超声培训往往对图像识别和解读缺乏足够的关注，而这对于准确诊断至关重要。本研究评估了AdaptUS模块的有效性，这是一个技术支持的自适应学习平台，旨在提高产前医学中的超声诊断技能。
对德国大学医院的76名医学生进行了一项前瞻性横断面研究，分为干预组（n = 37）和对照组（n = 39）。干预组使用AdaptUS模块，该模块根据个人表现调整其内容。更确切地说，它是一个针对超声图像的学习程序，虽然不能直接适应用户的技能水平，但可以被认为是自适应的，因为答错的图像会再次呈现以供重新解读。然而，目前图像是随机显示的，尚未根据用户能力进行调整，以确保挑战是一致的，但不是根据技能水平量身定制的。需要注意的是，这不是一个超声图像软件，而是一个图像解读软件，旨在通过让用户反复接触医学图像来帮助他们提高诊断技能。相比之下，对照组没有接受这种培训。在学期开始和结束时，使用一系列16个问题对两组学生的超声诊断技能进行评估，这些问题涉及正确解读图像，而不是标准的多项选择题形式。进行统计分析以比较组内和组间的测试前和测试后结果。
干预组的平均测试成绩有显著提高，从70.9%提高到86.0%（p < 0.001），而对照组的成绩从62.0%略有下降至59.0%，不过这一变化没有统计学意义。干预组和对照组在成绩提高方面的差异具有统计学意义（p < 0.001）。干预组学生的反馈绝大多数是积极的，强调了该系统在满足个人学习需求方面的灵活性，并表明其有潜力更广泛地融入医学课程。
AdaptUS培训模块通过提供个性化的学习体验，弥补了传统培训方法的不足，显著提高了超声诊断技能，尤其是在产前医学方面。AdaptUS的成功强调了将自适应学习技术融入医学教育以弥合理论知识与实际应用之间差距的重要性。未来的研究应探索这种培训对临床实践的长期影响，并考虑纳入虚拟现实等先进技术以进一步提高教育效果。
