Attitude of brazilian dentists and dental students regarding the future role of artificial intelligence in oral radiology: a multi-center survey

2020 ◽  
pp. 20200461
Author(s):  
Ruben Pauwels ◽  
Yumi Chokyu Del Rey

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 seven sessions at six 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, on-going revolution of AI-augmented radiology, it is pivotal to incorporate AI topics in dental training curricula.

2020 ◽  
Vol 24 (4) ◽  
pp. 851-870
Author(s):  
Michael Hilb

Abstract The article explores the impact of the ongoing progress and adaptation of artificial intelligence on the practice of the corporate governance. It applies three lenses to artificial governance—the business, technology and society lenses—to assess the desirability, feasibility and responsibility of automating board-level decision-making to ensure effective corporate governance. Based on an assessment of the potential and limitations of human and machine learning for effective board-level decision-making, the article proposes five scenarios of artificial governance, i.e. assisted, augmented, amplified, autonomous and autopoietic intelligence, that are likely to shape the governance of organizations today, tomorrow and beyond. It discusses the implications of both the governance of and the governance with artificial intelligence in the three horizons and concludes with an appeal to board members to take an active role in understanding, imagining and shaping the future of artificial governance.


2014 ◽  
Vol 11 (01) ◽  
pp. 35-42
Author(s):  
M. Hermans

SummaryThe author presents his personal opinion inviting to discussion on the possible future role of psychiatrists. His view is based upon the many contacts with psychiatrists all over Europe, academicians and everyday professionals, as well as the familiarity with the literature. The list of papers referred to is based upon (1) the general interest concerning the subject when representing ideas also worded elsewhere, (2) the accessibility to psychiatrists and mental health professionals in Germany, (3) being costless downloadable for non-subscribers and (4) for some geographic aspects (e.g. Belgium, Spain, Sweden) and the latest scientific issues, addressing some authors directly.


1990 ◽  
Author(s):  
Andrew M. Schuster ◽  
Austin A. Stovall

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