Perceptions of the German General Population Towards Implementing Artificial Intelligence in Medical Care: A Population-Based Survey

The rise of artificial intelligence (AI) in medical care presents several opportunities, including improving patient outcomes. As part of the PEAK project (Perspectives on the Use and Acceptance of Artificial Intelligence in Medical Care), this study aimed to examine the general population's technology affinity and perceptions regarding AI in their medical treatment using questionnaire data from the population-based online panel HeReCa (Health Related Beliefs and Health Care Experiences in Germany). In principle, participants were open to the use of AI systems in their treatment, with those having medium and high levels of technology affinity being more receptive than those with low affinity. Including the population's perspectives in the various applications of AI is crucial for the successful implementation of AI in medical treatment.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250566
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
3.89

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Perceptions of the German General Population Towards Implementing Artificial Intelligence in Medical Care: A Population-Based Survey

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article en
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Abstract

The rise of artificial intelligence (AI) in medical care presents several opportunities, including improving patient outcomes. As part of the PEAK project (Perspectives on the Use and Acceptance of Artificial Intelligence in Medical Care), this study aimed to examine the general population's technology affinity and perceptions regarding AI in their medical treatment using questionnaire data from the population-based online panel HeReCa (Health Related Beliefs and Health Care Experiences in Germany). In principle, participants were open to the use of AI systems in their treatment, with those having medium and high levels of technology affinity being more receptive than those with low affinity. Including the population's perspectives in the various applications of AI is crucial for the successful implementation of AI in medical treatment.

Studies in health technology and informaticsVol. 327
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Martin Luther University Halle-Wittenberg (DE)
Gemeinsame Bundesausschuss
Openalex Percentile: Top 10%
Artificial Intelligence in Healthcare and Education
3.89
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