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Vol. 14 No. 1 (2021)

Articles

Legal Possibilities of Using AI in Medicine, with Particular Emphasis on Imaging Diagnostics and Responsibility of Medical Entities – Polish Perspective

DOI: https://doi.org/10.32084/tekapr.2021.14.1-18  [Google Scholar]
Published: 2022-07-21

Abstract

The method/practise of providing healthcare services has been significantly modified due to the development of the pandemic. In everyday medical practice, the use of telecommunication media has begun to be widely used, which enable the provision of healthcare services at a distance. The next step is the use of artificial intelligence during the planning, implementation and control of medical activities, which will support and even replace humans at various stages of medical activities. The article discusses issues related to the use of artificial intelligence in the process of medical activities, referring the above to the perspective of current legal regulations. Considering the nature of civilization diseases, the paper refers to the use of AI on the basis of imaging diagnostics constituting the basis for cancer diagnosis and therapy. The choice of this broad topic was motivated by the indications of the latest literature, which emphasize that malignant tumor is the most common cause of death in developed countries and it is estimated that the number of cases will continue to increase in aging populations. The article is one of the first attempts to analyze the principles of using AI in medicine and the principles of its liability for potential damage. The authors used the method of analyzing the applicable regulations, including regulations under European law, and also made a synthetic analysis of the position of the judicature and doctrine. The article indicates that the liability for damage caused by AI should be identified with liability for a dangerous product. At the same time, the civil liability of the medical entity for damages resulting from the use of AI in the diagnostic imaging process will be subject to the general regime of tort liability.

References

  1. Anderson, Toni, William C. Torreggiani, Peter L. Munk, et al. 2020. “The impact of the introduction of artificial intelligence in radiology and its potential legal implications in the UK and Ireland.” BJR Open 2 (1):20200030. https://doi.org/10.1259/bjro.20200030 [Google Scholar]
  2. Banaszczyk, Zbigniew. 2020. Kodeks cywilny. Komentarz. Vol. 1: Art. 1–44910. 10th edition. Edited by Krzysztof Pietrzykowski. Warsaw: C.H. Beck. [Google Scholar]
  3. Benke, Kurt, and Geza Benke. 2018. “Artificial Intelligence and Big Data in Public Health.” Int. J Environ. Res Public Health 15 (12):2796. https://doi.org/10.3390/ijerph15122796 [Google Scholar]
  4. Borysiak, Witold. 2020. Komentarz. Kodeks cywilny. 27th edition. Edited by Konrad Osajda. Warsaw: C.H. Beck. [Google Scholar]
  5. Bosek, Leszek. 2019. “Perspektywy rozwoju odpowiedzialności cywilnej – zagadnienia wybrane odpowiedzialności za inteligentne roboty.” Forum Prawnicze 2 (52). https://doi.org/10.32082/fp.v2i52.200 [Google Scholar]
  6. DeSanti, Carol, Kimberly Miller, William Dale, et al. 2019. “Cancer statistics for adults aged 85 years and older, 2019.” CA Cancer J Clin 69:452–67. [Google Scholar]
  7. Długoszewska–Kruk, Iwona. 2019. Kodeks cywilny. Komentarz. 2nd edition. Edited by Mariusz Załucki. Warsaw: C.H. Beck. [Google Scholar]
  8. Frost Emma K., and Stacy M. Carter. 2020. “Reporting of screening and diagnostic AI rarely acknowledges ethical, legal, and social implications: a mass media frame analysis.” BMC Medical Informatics and Decision Making 20 (1):325. https://doi.org/10.1186/s12911-020-01353-1 [Google Scholar]
  9. Górski, Sebastain. 2019. “Najważniejsze momenty w historii rozwoju SI #1. Od Turinga do pierwszej zimy.” https://www.sztucznainteligencja.org.pl/najwazniejsze-momenty-w-historiirozwoju-si-1-od-turinga-do-pierwszej-zimy/ [accessed: 03.03.2021]. [Google Scholar]
  10. Hessler, Gerhard, and Karl–Heinz Baringhaus. 2019. “Artificial Intelligence in Drug Design Molecules.” Molecules 23 (10), 2520. https://doi.org/10.3390/molecules23102520 [Google Scholar]
  11. Kaplan, Andreas, and Michael Haenlein. 2019. “Siri, Siri in my Hand, who’s the Fairest in the Land? On the Interpretations, Illustrations and Implications of Artificial Intelligence.” Business Horizons 62 (1):15–25. [Google Scholar]
  12. Kuźmicka–Sulikowska, Joanna. 2013. “Pojęcie produktu niebezpiecznego na gruncie przepisów kodeksu cywilnego dotyczących odpowiedzialności za szkodę wyrządzoną przez ten product.” https://www.bibliotekacyfrowa.pl/dlibra/show-content/publication/edition/42758?id=42758 [accessed: 11.01.2021]. [Google Scholar]
  13. Mayo, Roy Cody, and Jessica Leung. 2018. “Artificial intelligence and deep learning-Radology’s next frontier?” Clin Imaging 49:87–88. [Google Scholar]
  14. Mei, Xueyan, Hao–Chih Lee, et al. 2020. “Artificial intelligence–enabled rapid diagnosis of patients with COVID-19.” Nature Medicine 26:1224–228. https://doi.org/10.1038/s41591-020-0931-3 [Google Scholar]
  15. Niel, Olivier, and Paul Bastard. 2019. “Artificial Intelligence in Nephrology: Core Concepts, Clinical Applications, and Perspectives.” Am J Kideny Dis. 74 (6):803–10. https://doi.org/10.1053/j.ajkd.2019.05.020 [Google Scholar]
  16. Rodriguez–Ruiz, Alejandro, Kristina Lång, et al. 2019. “Stand‐alone artificial intelligence for breast cancer detection in mammography: comparison with 101 radiologists.” J Natl Cancer Inst 111:916–22. [Google Scholar]
  17. Roth, Holger, Le Lu, Jiamin Liu, et al. 2016. “Improving computer‐aided detection using convolutional neural networks and random view aggregation.” IEEE Trans Med Imaging 35:1170–181. [Google Scholar]
  18. Safjan, Marek. 2020. Kodeks cywilny. Vol. 1. Komentarz do art. 1–44910. 10th edition. Edited by Krzysztof Pietrzykowski. Warsaw: C.H. Beck. [Google Scholar]
  19. Sarwar, Shihab, Anglin Dent, Kevin Faust, et al. 2019. “Physician perspectives on integration of artificial intelligence into diagnostic pathology.” NPJ Digit Med. 2:28. https://doi.org/10.1038/s41746-019-0106-0 [Google Scholar]
  20. Shimizu, Hideyuki, and Keiichi I. Nakayama. 2020. “Artificial intelligence in oncology.” Cancer sience 111 (5):1452–460. https://doi.org/10.1111/cas.14377 [Google Scholar]
  21. Siegel, Rebeca, Kimberly Miller, and Ahmedin Jemal. 2019. “Cancer statistics, 2019.” CA Cancer J Clin 69:7–34. [Google Scholar]
  22. Wałachowska, Monika. 2020. “Sztuczna inteligencja a zasady odpowiedzialności cywilnej.” In Prawo sztucznej inteligencji, edited by Luigi Lai, and Marek Świerczyński, 57–68. Warsaw: C.H. Beck. [Google Scholar]

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