Artificial Intelligence Readiness, Perceptions, and Educational Needs Among Dental Students: A Cross-Sectional Study

IF 1.7 Q3 DENTISTRY, ORAL SURGERY & MEDICINE Clinical and Experimental Dental Research Pub Date : 2024-07-05 DOI:10.1002/cre2.925

Dalal Hammoudi Halat, Rula Shami, Alaa Daud, Waqas Sami, Abderrezzaq Soltani, Ahmed Malki

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Abstract

Objectives

With Artificial Intelligence (AI) profoundly affecting education, ensuring that students in health disciplines are ready to embrace AI is essential for their future workforce integration. This study aims to explore dental students' readiness to use AI, perceptions about AI in health education and healthcare, and their AI-related educational needs.

Material and Methods

A cross-sectional survey was conducted among dental students at the College of Dental Medicine, Qatar University. The survey assessed readiness for AI using the Medical Artificial Intelligence Readiness Scale (MAIRS). Students' perceptions of AI in healthcare and health education and their educational needs were also explored.

Results

A total of 94 students responded to the survey. AI readiness scores were average (3.3 ± 0.64 out of 5); while participants appeared more ready for the vision and ethics domains of MAIRS, they showed less readiness regarding cognition and ability. Participants scored average on AI perceptions (3.35 ± 0.45 out of 5), with concerns regarding AI risks and disadvantages. They expressed a high need for knowledge and skills related to AI use in healthcare (84%), AI for health-related research (81.9%), and AI in radiology and imaging procedures (79.8%). Student readiness had a significant correlation with AI perceptions and perceived level of AI knowledge.

Conclusions

This is the first study in Qatar exploring dental students' AI readiness, perceptions, and educational needs regarding AI applications in education and healthcare. The perceived AI knowledge gaps could inform future curricular AI integration. Advancing AI skills and deepening AI comprehension can empower future dental professionals through anticipated advances in the AI-driven healthcare landscape.

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牙科学生对人工智能的准备程度、认知和教育需求：一项横断面研究。

目标：随着人工智能（AI）对教育产生深远影响，确保卫生学科的学生做好接受人工智能的准备对于他们未来的劳动力整合至关重要。本研究旨在探讨牙科学生使用人工智能的准备情况、对健康教育和医疗保健领域人工智能的看法以及他们与人工智能相关的教育需求：对卡塔尔大学牙医学院的牙科学生进行了一项横向调查。调查使用医学人工智能准备程度量表（MAIRS）评估了人工智能的准备程度。此外，还探讨了学生对医疗保健和健康教育中的人工智能的看法以及他们的教育需求：共有 94 名学生回答了调查。人工智能准备度得分一般（3.3 ± 0.64，满分 5 分）；虽然参与者在 MAIRS 的愿景和伦理领域的准备度较高，但在认知和能力方面的准备度较低。参与者在人工智能认知方面的得分一般（3.35 ± 0.45，满分 5 分），对人工智能的风险和弊端表示担忧。他们表示非常需要与人工智能在医疗保健中的应用（84%）、人工智能在健康相关研究中的应用（81.9%）以及人工智能在放射学和成像程序中的应用（79.8%）相关的知识和技能。学生的准备程度与对人工智能的看法和人工智能知识的认知水平有明显的相关性：这是卡塔尔首次就人工智能在教育和医疗保健领域的应用，对牙科学生的人工智能准备程度、认知和教育需求进行研究。认知到的人工智能知识差距可以为未来的人工智能课程整合提供参考。提高人工智能技能和加深对人工智能的理解，可以使未来的牙科专业人员在人工智能驱动的医疗保健领域取得预期进展。

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来源期刊

Clinical and Experimental Dental Research DENTISTRY, ORAL SURGERY & MEDICINE-

CiteScore

3.30

自引率

5.60%

发文量

165

审稿时长

26 weeks

期刊介绍： Clinical and Experimental Dental Research aims to provide open access peer-reviewed publications of high scientific quality representing original clinical, diagnostic or experimental work within all disciplines and fields of oral medicine and dentistry. The scope of Clinical and Experimental Dental Research comprises original research material on the anatomy, physiology and pathology of oro-facial, oro-pharyngeal and maxillofacial tissues, and functions and dysfunctions within the stomatognathic system, and the epidemiology, aetiology, prevention, diagnosis, prognosis and therapy of diseases and conditions that have an effect on the homeostasis of the mouth, jaws, and closely associated structures, as well as the healing and regeneration and the clinical aspects of replacement of hard and soft tissues with biomaterials, and the rehabilitation of stomatognathic functions. Studies that bring new knowledge on how to advance health on the individual or public health levels, including interactions between oral and general health and ill-health are welcome.