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2
Medical Student Perspectives on the Impact of Artificial Intelligence on the Practice of Medicine.医学生对人工智能对医学实践影响的看法。
Curr Probl Diagn Radiol. 2021 Sep-Oct;50(5):614-619. doi: 10.1067/j.cpradiol.2020.06.011. Epub 2020 Jun 27.
3
Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey.英国医学生对人工智能与放射学的态度和认知:一项多中心调查
Insights Imaging. 2020 Feb 5;11(1):14. doi: 10.1186/s13244-019-0830-7.
4
Radiomics and Machine Learning in Oral Healthcare.口腔医疗中的放射组学和机器学习。
Proteomics Clin Appl. 2020 May;14(3):e1900040. doi: 10.1002/prca.201900040. Epub 2020 Jan 29.
5
A survey on the future of radiology among radiologists, medical students and surgeons: Students and surgeons tend to be more skeptical about artificial intelligence and radiologists may fear that other disciplines take over.一项针对放射科医生、医学生和外科医生的放射学未来的调查:学生和外科医生往往对人工智能持更怀疑的态度,而放射科医生可能担心其他学科会接管。
Eur J Radiol. 2019 Dec;121:108742. doi: 10.1016/j.ejrad.2019.108742. Epub 2019 Nov 9.
6
Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement.放射学中人工智能的伦理问题:欧洲和北美多学会联合声明摘要
Insights Imaging. 2019 Oct 1;10(1):101. doi: 10.1186/s13244-019-0785-8.
7
The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review.人工智能应用在口腔颌面放射学中的使用和性能:系统评价。
Dentomaxillofac Radiol. 2020 Jan;49(1):20190107. doi: 10.1259/dmfr.20190107. Epub 2019 Aug 14.
8
What should medical students know about artificial intelligence in medicine?医学生应该了解关于医学人工智能的哪些方面?
J Educ Eval Health Prof. 2019;16:18. doi: 10.3352/jeehp.2019.16.18. Epub 2019 Jul 3.
9
Impact of the rise of artificial intelligence in radiology: What do radiologists think?人工智能在放射学领域兴起的影响:放射科医生是怎么想的?
Diagn Interv Imaging. 2019 Jun;100(6):327-336. doi: 10.1016/j.diii.2019.03.015. Epub 2019 May 6.
10
An overview of deep learning in the field of dentistry.牙科领域深度学习概述。
Imaging Sci Dent. 2019 Mar;49(1):1-7. doi: 10.5624/isd.2019.49.1.1. Epub 2019 Mar 25.

巴西牙医和牙科学生对人工智能在口腔放射学中未来作用的态度:一项多中心调查。

Attitude of Brazilian dentists and dental students regarding the future role of artificial intelligence in oral radiology: a multicenter survey.

作者信息

Pauwels Ruben, Del Rey Yumi Chokyu

机构信息

Aarhus Institute of Advanced Studies, Aarhus University, Aarhus, Denmark.

Department of Dental Materials and Prosthodontics, Ribeirão Preto Dental School, University of São Paulo, São Paulo, Brazil.

出版信息

Dentomaxillofac Radiol. 2021 Jul 1;50(5):20200461. doi: 10.1259/dmfr.20200461. Epub 2021 Jan 12.

DOI:10.1259/dmfr.20200461
PMID:33353376
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8231677/
Abstract

OBJECTIVES

The aim of this study was to assess the attitude of dentists and dental students in Brazil regarding the impact of artificial intelligence (AI) in oral radiology, and to evaluate the effect of an introductory AI lecture on their attitude.

METHODS

A questionnaire was prepared, comprising statements regarding the future role of AI in oral radiology and dentistry. A lecture of approx. 1 h was prepared, comprising the basic principles of AI and a non-exhaustive overview of AI research in medicine and dentistry. Participants filled in the questionnaire prior to the lecture. After the lecture, the questionnaire was repeated.

RESULTS

Throughout 7 sessions at 6 locations, 293 questionnaires were collected. The majority of participants were undergraduate dental students (57%). Prior to the lecture, there was a strong agreement regarding the various future roles and expected impact of AI in oral radiology. Approximately, one-third of participants was concerned about AI. After the lecture, agreement regarding the different roles of AI in oral radiology increased, overall excitement regarding AI increased, and concerns regarding the potential replacement of oral radiologists decreased.

CONCLUSIONS

A generally positive attitude towards AI was found; an introductory lecture was beneficial towards this attitude and alleviated concerns regarding the effect of AI on the oral radiology profession. Given the unprecedented, ongoing revolution of AI-augmented radiology, it is pivotal to incorporate AI topics in dental training curricula.

摘要

目的

本研究旨在评估巴西牙医和牙科学生对人工智能(AI)在口腔放射学中影响的态度,并评估一场人工智能入门讲座对他们态度的影响。

方法

准备了一份问卷,其中包含有关人工智能在口腔放射学和牙科未来作用的陈述。准备了一场约1小时的讲座,内容包括人工智能的基本原理以及医学和牙科领域人工智能研究的非详尽概述。参与者在讲座前填写问卷。讲座结束后,再次填写问卷。

结果

在6个地点的7场讲座中,共收集到293份问卷。大多数参与者是牙科本科学生(57%)。讲座前,对于人工智能在口腔放射学中的各种未来作用和预期影响存在强烈共识。约三分之一的参与者对人工智能感到担忧。讲座后,对人工智能在口腔放射学中不同作用的共识增加,对人工智能的总体兴奋度增加,对口腔放射科医生可能被取代的担忧减少。

结论

发现对人工智能总体持积极态度;入门讲座对这种态度有益,并减轻了对人工智能对口腔放射学专业影响的担忧。鉴于人工智能辅助放射学正在进行前所未有的变革,将人工智能主题纳入牙科培训课程至关重要。