Abstract
One of the significant factors determining societal acceptance of the use of AI in medical diagnostics is the societal attitude towards technology and the overall level of knowledge. The aim of the conducted survey research on a representative sample of 1063 Poles was to understand their attitudes towards the increasing use of AI in medical diagnostics. The obtained results confirmed that: (i) over 60% of the respondents perceive the need for utilizing AI in medical diagnostics, (ii) respondents’ trust in the use of AI in medical diagnostics is comparable to their trust in a family member or friend and significantly higher than their trust in information from the Internet, (iii) over 80% of respondents indicated that patients should be informed when a doctor uses AI in medical diagnosis, (iv) more than 40% of respondents expressed that they would feel very comfortable or rather comfortable if a doctor utilized AI for diagnosing their medical conditions.
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References
Rodler, S., et al.: Patients’ trust in artificial intelligence–based decision-making for localized prostate cancer: results from a prospective trial. Eur. Urol. Focus S2405–4569(23), 00237–00247 (2023)
Folke, T., Scott, Ch-H. Y., Sean A., Shafto, P.: Explainable AI for Medical Imaging: Explaining Pneumothorax Diagnoses with Bayesian Teaching (2021). https://doi.org/10.48550/arxiv.2106.04684, Accessed 27 11 2023
Lee, D., Yoon, S.: Application of artificial intelligence-based technologies in the healthcare industry: opportunities and challenges. Int. J. Environ. Res. Public Health 18(1), 271 (2021)
Rigby, M.: Ethical dimensions of using artificial intelligence in healthcare. AMA J. Ethics 21(2), 121–124 (2019)
Lee, S., Lee, D.: Healthcare wearable devices: an analysis of key factors for continuous use intention. Serv. Bus. 14, 503–531 (2020)
Formosa, P., Rogers, W., Griep, Y., Bankins, S., Richards, D.: Medical AI and human dignity: Contrasting perceptions of human and artificially intelligent (AI) decision making in diagnostic and medical resource allocation contexts. Comput. Hum. Behav. 133, 107296 (2022)
Zhang, Z., Genc, Y., Wang, D., Ahsen, M.E., Fan, X.: Effect of AI explanations on human perceptions of patient-facing AI-powered healthcare systems. J. Med. Syst. 45, 64 (2021)
Juravle, G., Boudouraki, A., Terziyska, M., Rezlescu, C.: Trust in artificial intelligence for medical diagnoses. Prog. Brain Res. 253, 263–282 (2020)
Hengstler, M., Enkel, E., Duelli, S.: Applied artificial intelligence and trust—the case of autonomous vehicles and medical assistance devices, Technol. Forecast. Soc. Change, 105 (2016), 105–120
Yang, Y.J., Bang, C.S.: Application of artificial intelligence in gastroenterology. World J. Gastroenteroly 25(14), 1666–1683 (2019)
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Funded by the Ministry of Education and Science as part of a commissioned task titled “Politechniczna Sieć VIA CARPATIA in honor of the President of the Republic of Poland, Lech Kaczyński.
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Ejdys, J., Czerwińska, M. (2024). Artificial Intelligence (AI) in Medical Diagnostics: Social Attitude of Poles. In: Arai, K. (eds) Advances in Information and Communication. FICC 2024. Lecture Notes in Networks and Systems, vol 921. Springer, Cham. https://doi.org/10.1007/978-3-031-54053-0_45
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DOI: https://doi.org/10.1007/978-3-031-54053-0_45
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