Patients’ perspectives on the use of artificial intelligence in dentistry: a regional survey

Autor: Nasim Ayad, Falk Schwendicke, Joachim Krois, Stefanie van den Bosch, Stefaan Bergé, Lauren Bohner, Marcel Hanisch, Shankeeth Vinayahalingam
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Head & Face Medicine, Vol 19, Iss 1, Pp 1-10 (2023)
Druh dokumentu: article
ISSN: 1746-160X
DOI: 10.1186/s13005-023-00368-z
Popis: Abstract The use of artificial intelligence (AI) in dentistry is rapidly evolving and could play a major role in a variety of dental fields. This study assessed patients’ perceptions and expectations regarding AI use in dentistry. An 18-item questionnaire survey focused on demographics, expectancy, accountability, trust, interaction, advantages and disadvantages was responded to by 330 patients; 265 completed questionnaires were included in this study. Frequencies and differences between age groups were analysed using a two-sided chi-squared or Fisher’s exact tests with Monte Carlo approximation. Patients’ perceived top three disadvantages of AI use in dentistry were (1) the impact on workforce needs (37.7%), (2) new challenges on doctor–patient relationships (36.2%) and (3) increased dental care costs (31.7%). Major expected advantages were improved diagnostic confidence (60.8%), time reduction (48.3%) and more personalised and evidencebased disease management (43.0%). Most patients expected AI to be part of the dental workflow in 1–5 (42.3%) or 5–10 (46.8%) years. Older patients (> 35 years) expected higher AI performance standards than younger patients (18–35 years) (p
Databáze: Directory of Open Access Journals
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