Understanding patient attitudes towards the use of AI in medical diagnosis using Necessary Conditions Analysis

The recent years have brought a rapid growth in the use of artificial intelligence (AI), particularly in medical applications. One of the areas where AI can find application is in medical diagnostics. AI has the potential to revolutionize the field of medical diagnostics by improving the predictive accuracy, speed and efficiency of the diagnostic process. The literature provides many studies on the applications of AI in medical diagnostics, including the attitudes of medical personnel towards this technology. However, few studies focus on evaluating the use of AI in medicine from the perspective of consumers. The article concerns the issue of using artificial intelligence in medical diagnostics. The authors analyse the attitudes of potential patients towards medical applications of AI. They examine the factors determining social acceptance of AI usage in medical diagnostics. They use a new research method based on necessity logic - Necessary Condition Analysis (NCA).

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Publication Details

Journal
European Conference on Innovation and Entrepreneurship
Published
2024-09-20
DOI
https://doi.org/10.34190/ecie.19.1.2864
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
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article

Understanding patient attitudes towards the use of AI in medical diagnosis using Necessary Conditions Analysis

Agnieszka Rzepka, Joanna Ejdys, Magdalena Czerwinska
European Conference on Innovation and Entrepreneurship
AI in Service Interactions
article

Understanding patient attitudes towards the use of AI in medical diagnosis using Necessary Conditions Analysis

Agnieszka Rzepka, Joanna Ejdys, Magdalena Czerwinska
article en

Abstract

The recent years have brought a rapid growth in the use of artificial intelligence (AI), particularly in medical applications. One of the areas where AI can find application is in medical diagnostics. AI has the potential to revolutionize the field of medical diagnostics by improving the predictive accuracy, speed and efficiency of the diagnostic process. The literature provides many studies on the applications of AI in medical diagnostics, including the attitudes of medical personnel towards this technology. However, few studies focus on evaluating the use of AI in medicine from the perspective of consumers. The article concerns the issue of using artificial intelligence in medical diagnostics. The authors analyse the attitudes of potential patients towards medical applications of AI. They examine the factors determining social acceptance of AI usage in medical diagnostics. They use a new research method based on necessity logic - Necessary Condition Analysis (NCA).

European Conference on Innovation and EntrepreneurshipVol. 19(1)
Bialystok University of Technology (PL), Lublin University of Technology (PL)
Openalex Percentile: Top 86%
AI in Service Interactions
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