Artificial intelligence-assisted focused cardiac ultrasound training: A survey among undergraduate medical students.

IF 0.8 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Hatem Soliman-Aboumarie, Jolien Geers, Dominic Lowcock, Trisha Suji, Kimberley Kok, Matteo Cameli, Eftychia Galiatsou
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Abstract

Objectives: Focused cardiac ultrasound (FoCUS) is increasingly applied in many specialities, and adequate education and training of physicians is therefore mandatory. This study aimed to assess the impact of artificial intelligence (AI)-assisted interactive focused cardiac ultrasound (FoCUS) teaching session on undergraduate medical students' confidence level and knowledge in cardiac ultrasound.

Methods: The AI-assisted interactive FoCUS teaching session was held during the 9th National Undergraduate Cardiovascular Conference in London in March 2023 and all undergraduate medical students were invited to attend, and 79 students enrolled and attended the training. Two workshops were conducted each over 3-hour period. Each workshop consisted of a theoretical lecture followed by a supervised hands-on session by experts, first workshop trained 39 students and the second workshop trained 40 students. The students' pre- and post-session knowledge and confidence levels were assessed by Likert-type-scale questionnaires filled in by the students before and immediately after the workshop.

Results: A total of 61 pre-session and 52 post-session questionnaires were completed. Confidence level in ultrasound skills increased significantly for all six domains after the workshop, with the greatest improvement seen in obtaining basic cardiac views (p < 0.001 for all six domains). Students strongly agreed about the effectiveness of the teaching session and supported the integration of ultrasound training into their medical curriculum.

Conclusions: AI-assisted interactive FoCUS training can be an effective and powerful tool to increase ultrasound skills and confidence levels of undergraduate medical students. Integration of such ultrasound courses into the medical curriculum should therefore be considered.

人工智能辅助聚焦心脏超声训练:医学本科生调查。
目的:聚焦心脏超声(FoCUS)越来越多地应用于许多专科,因此必须对医生进行充分的教育和培训。本研究旨在评估人工智能(AI)辅助的交互式心脏聚焦超声(FoCUS)教学课程对本科医学生心脏超声信心水平和知识的影响:人工智能辅助互动式 FoCUS 教学会议于 2023 年 3 月在伦敦举行的第九届全国本科生心血管会议期间举行,邀请所有本科医学生参加,共有 79 名学生报名并参加了培训。共举办了两场研讨会,每场研讨会持续 3 小时。第一期培训班培训了39名学生,第二期培训班培训了40名学生。学员在工作坊前后填写的李克特量表问卷对学员在工作坊前和工作坊后的知识和信心水平进行了评估:共完成 61 份会前问卷和 52 份会后问卷。工作坊结束后,学生对超声波技能的信心水平在所有六个领域都有显著提高,其中在获得基本心脏视图方面提高最大(所有六个领域的P < 0.001)。学生们非常认同教学课程的有效性,并支持将超声培训纳入医学课程:结论:人工智能辅助的交互式 FoCUS 培训是提高本科医学生超声技能和信心水平的有效而强大的工具。因此,应考虑将此类超声课程纳入医学课程。
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来源期刊
Ultrasound
Ultrasound RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
1.70
自引率
0.00%
发文量
55
期刊介绍: Ultrasound is the official journal of the British Medical Ultrasound Society (BMUS), a multidisciplinary, charitable society comprising radiologists, obstetricians, sonographers, physicists and veterinarians amongst others.
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