Artificial intelligence in dentistry: awareness among dentists and computer scientists.

IF 1.6 3区 医学 Q3 DENTISTRY, ORAL SURGERY & MEDICINE
Eliana Dantas Costa, Marcela Amanda Vieira, Glaucia Maria Bovi Ambrosano, Hugo Gaêta-Araujo, José Andery Carneiro, Breno Augusto Guerra Zancan, Alexander Scaranti, Alessandra Alaniz Macedo, Camila Tirapelli
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引用次数: 0

Abstract

Objectives: For clinical application of artificial intelligence (AI) in dentistry, collaboration with computer scientists is necessary. This study aims to evaluate the knowledge of dentists and computer scientists regarding the utilization of AI in dentistry, especially in dentomaxillofacial radiology.

Methods: 610 participants (374 dentists and 236 computer scientists) took part in a survey about AI in dentistry and radiographic imaging. Response options contained Likert scale of agreement/disagreement. Descriptive analyses of agreement scores were performed using quartiles (minimum value, first quartile, median, third quartile, and maximum value). Non-parametric Mann-Whitney test was used to compare response scores between two categories (α = 5%).

Results: Dentists academics had higher agreement scores for the questions: "knowing the applications of AI in dentistry", "dentists taking the lead in AI research", "AI education should be part of teaching", "AI can increase the price of dental services", "AI can lead to errors in radiographic diagnosis", "AI can negatively interfere with the choice of Radiology specialty", "AI can cause a reduction in the employment of radiologists", "patient data can be hacked using AI" (p < 0.05). Computer scientists had higher concordance scores for the questions "having knowledge in AI" and "AI's potential to speed up and improve radiographic diagnosis".

Conclusion: Although dentists acknowledge the potential benefits of AI in dentistry, they remain skeptical about its use and consider it important to integrate the topic of AI into dental education curriculum. On the other hand, computer scientists confirm technical expertise in AI and recognize its potential in dentomaxillofacial radiology.

牙科中的人工智能:牙医和计算机科学家的意识。
目的:人工智能在牙科的临床应用,需要与计算机科学家的合作。本研究旨在评估牙医和计算机科学家关于人工智能在牙科,特别是牙颌面放射学中的应用的知识。方法:610名参与者(374名牙医和236名计算机科学家)参加了关于人工智能在牙科和放射成像中的应用的调查。回答选项包含李克特同意/不同意量表。使用四分位数(最小值、第一四分位数、中位数、第三四分位数和最大值)对一致性评分进行描述性分析。采用非参数Mann-Whitney检验比较两类间的反应得分(α = 5%)。结果:牙医学者在“了解人工智能在牙科中的应用”、“牙医在人工智能研究方面处于领先地位”、“人工智能教育应成为教学的一部分”、“人工智能会提高牙科服务的价格”、“人工智能会导致放射诊断错误”、“人工智能会对放射专业的选择产生负面干扰”、“人工智能会导致放射科医生的就业减少”、“患者数据可能被人工智能窃取”等问题上的一致性得分较高(p . Conclusion)。尽管牙医承认人工智能在牙科中的潜在好处,但他们仍然对其使用持怀疑态度,并认为将人工智能主题纳入牙科教育课程非常重要。另一方面,计算机科学家确认了人工智能的技术专长,并认识到其在牙颌面放射学方面的潜力。
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
Oral Radiology
Oral Radiology DENTISTRY, ORAL SURGERY & MEDICINE-
CiteScore
4.20
自引率
13.60%
发文量
87
审稿时长
>12 weeks
期刊介绍: As the official English-language journal of the Japanese Society for Oral and Maxillofacial Radiology and the Asian Academy of Oral and Maxillofacial Radiology, Oral Radiology is intended to be a forum for international collaboration in head and neck diagnostic imaging and all related fields. Oral Radiology features cutting-edge research papers, review articles, case reports, and technical notes from both the clinical and experimental fields. As membership in the Society is not a prerequisite, contributions are welcome from researchers and clinicians worldwide.
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