Reshaping the Patient-Physician Relationship through Artificial Intelligence in Medicine? -Promises, Opportunities, and Ethical Challenges = Reshaping the Patient-Physician Relationship through Artificial Intelligence in Medicine? -Promises, Opportunities, and Ethical Challenges

다국어 초록 (Multilingual Abstract)

With the rapid development of AI in medicine, it is to be expected that new asymmetries will arise in the doctor-patient relationship and normative terms such as patient autonomy, paternalism, trust, and confidentiality will acquire new meanings and functions. All of these developments will create new and complex ethical questions. Some of these questions will be analyzed and reflected in this article. It is argued that if AI improves healthcare and promotes the well-being of the patient - without violating the fundamental rights of others - it must be viewed as morally right and should not be fundamentally rejected. On the other hand, it should also be reflected what will be changed by the application of AI in healthcare and whether these changes are desirable, legally appropriate, and ethically justifiable. Therefore, we need investigations from the perspective of ethics and other humanities to go along with the establishment of AI applications in medicine simultaneously and not after the event.

참고문헌 (Reference)

1 Ahuja, Abhimanyu S., "The impact of artificial intelligence in medicine on the future role of the physician" 1-19, 2019

2 Aminololama-Shakeri, Shadi, "The Doctor-Patient Relationship With Artificial Intelligence" (212) : 308-310, 2018

3 Porter, Roy, "The Cambridge History of Medicine" Cambridge University Press 2011

4 Lin, Steven Y., "Ten Ways Artificial Intelligence Will Transform Primary Care" 34 (34): 1626-1630, 2019

5 Dahlke, Eva, "Telemedizin. E-Health in der Arbeitsmedizin" Ecomed MEDIZIN 49-58, 2020

6 Vellido, Alfredo, "Societal Issues Concerning the Application of Artificial Intelligence in Medicine" 5 (5): 11-17, 2019

7 Obermeyer, Ziad, "Predicting the Future — Big Data, Machine Learning, and Clinical Medicine" 375 (375): 1216-1219, 2016

8 Hartmann, Fritz, "Patient, Arzt und Medizin. Beiträge zur ärztlichen Anthropologie" Vandenhoeck u. Ruprecht 1984

9 Mittelman, Michael, "Patient commentary:Stop hyping artificial intelligence—patients will always need human doctors" 2018

10 Haenssle, H. A, "Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists" 29 : 1836-1842, 2018

11 Lee, Sangil, "Machine Learning in Relation to Emergency Medicine Clinical and Operational Scenarios: An Overview" 20 (20): 219-227, 2019

12 Jotterand, Fabrice, "Keeping the “Human in the Loop”in the Age of Artificial Intelligence" 2020

13 Van Rysewyk, Simon Peter, "Intelligent Systems, Control and Automation: Science and Engineering" Springer 2016

14 Emanuel, Ezekiel J, "Four Models of the Physician-Patient Relationship" 267 (267): 2221-2226, 1992

15 Currie, Geoff, "Ethical principles for the application of artificial intelligence (AI) in nuclear medicine" 47 (47): 748-752, 2020

16 Safdar, Nabile M, "Ethical considerations in artificial intelligence" 122 : 108768-, 2020

17 Beil, Michael, "Ethical considerations about artificial intelligence for prognostication in intensive care" 7 (7): 1-13, 2019

18 Wangmo, Tenzin, "Ethical concerns with the use of intelligent assistive technology:findings from a qualitative study with professional stakeholders" 20 (20): 98-, 2019

19 Uçar, Abdullah, "Epistemological and Ethical Issues of Big Data Use in Healthcare (Turkish)" 2 (2): 80-92, 2019

20 Duong, M. Tran, "Diverse Applications of Artificial Intelligence in Neuroradiology" 30 (30): 505-516, 2020

21 Nida-Rümelin, Julian, "Digitaler Humanismus. Eine Ethik für das Zeitalter der Künstlichen Intelligenz" Piper 2018

22 Grunwald, Armin, "Der unterlegene Mensch: Die Zukunft der Menschheit im Angesicht von Algorithmen, künstlicher Intelligenz und Robotern" Riva 2019

23 Topol, Eric, "Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again" Basic Books 2019

24 Rakha Emd A, "Current and future applications of artificial intelligence in pathology: a clinical perspective" 2020

25 Deutscher Ethikrat, "Big Data and Health – Data Sovereignty as the Shaping of Informational Freedom" Deutscher Ethikrat 2017

26 Neri, Emanuele, "Artificial intelligence: Who is responsible for the diagnosis?" 125 (125): 517-521, 2020

27 Lynn, Lawrence A., "Artificial intelligence systems for complex decisionmaking in acute care medicine" 13 : 6-, 2019

28 Hosny, Ahmed, "Artificial intelligence in radiology. Nature Reviews" 18 (18): 500-510, 2018

29 Van Assen, Marly, "Artificial intelligence in cardiac radiology La Radiologica Medica" 2020

30 Lal, Amos, "Artificial intelligence and computer simulation models in critical illness" 9 (9): 13-19, 2020

31 Jalal, Sabeena, "Artificial Intelligence, Radiology, and the Way Forward" 70 (70): 10-12, 2019

32 Gutierrez, Guillermo, "Artificial Intelligence in the Intensive Care Unit" 24 (24): 101-, 2020

33 Miller, Douglas D, "Artificial Intelligence in Medical Practice: The Question to the Answer?" 131 (131): 129-133, 2018

34 Gomolin, Arieh, "Artificial Intelligence Applications in Dermatology: Where Do We Stand?" 31 (31): 100-, 2020

35 Biller-Andorno, Nikola, "Algorithm-Aided Prediction of Patient Preferences – An Ethics Sneak Peek" 38 (38): 1480-1485, 2019

36 Karches, Kyle E, "Against the iDoctor: why artificial intelligence should not replace physician judgment" 39 (39): 91-110, 2018

37 McKinsey Global Institue, "A Future that works: Automation, employment, and productivity" McKinsey & Company 2017