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

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).

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