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Do People Favor Artificial Intelligence Over Physicians? A Survey Among the General Population and Their View on Artificial Intelligence in Medicine

Authors :
Marieke Haan
Yfke Ongena
Thomas C. Kwee
Derya Yakar
​Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE)
Guided Treatment in Optimal Selected Cancer Patients (GUTS)
Source :
Value in Health, 25(3), 374-381. ELSEVIER SCIENCE INC
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

Objectives To investigate the general population’s view on artificial intelligence (AI) in medicine with specific emphasis on 3 areas that have experienced major progress in AI research in the past few years, namely radiology, robotic surgery, and dermatology. Methods For this prospective study, the April 2020 Online Longitudinal Internet Studies for the Social Sciences Panel Wave was used. Of the 3117 Longitudinal Internet Studies For The Social Sciences panel members contacted, 2411 completed the full questionnaire (77.4% response rate), after combining data from earlier waves, the final sample size was 1909. A total of 3 scales focusing on trust in the implementation of AI in radiology, robotic surgery, and dermatology were used. Repeated-measures analysis of variance and multivariate analysis of variance was used for comparison. Results The overall means show that respondents have slightly more trust in AI in dermatology than in radiology and surgery. The means show that higher educated males, employed or student, of Western background, and those not admitted to a hospital in the past 12 months have more trust in AI. The trust in AI in radiology, robotic surgery, and dermatology is positively associated with belief in the efficiency of AI and these specific domains were negatively associated with distrust and accountability in AI in general. Conclusions The general population is more distrustful of AI in medicine unlike the overall optimistic views posed in the media. The level of trust is dependent on what medical area is subject to scrutiny. Certain demographic characteristics and individuals with a generally positive view on AI and its efficiency are significantly associated with higher levels of trust in AI.

Details

ISSN :
10983015
Volume :
25
Database :
OpenAIRE
Journal :
Value in Health
Accession number :
edsair.doi.dedup.....16d0eb651efc8e34ffa80e0173af7a98