REVIEW PAPER
Application of artificial intelligence algorithms in clinical practice in the context of the amended Code of Medical Ethics.
More details
Hide details
1
Hospital of Ministry of Interior and Administration in Katowice, Poland, Hospital of Ministry of Interior and Administration in Katowice: 39–41 Wita Stwosza Street, 40-042 Katowice, Poland, Polska
2
Łukasz Ungier Software Solutions
3
Faculty of Medical Sciences
in Zabrze, Medical University of Silesia: Katowice, Silesia, PL
4
Faculty of Medical Sciences
in Katowice, Medical University of Silesia, Katowice, Poland
Corresponding author
Joanna Anna Pilśniak
SP ZOZ MSWiA im. Sierżanta Grzegorza Załogi w Katowicach, ul. Wita Stwosza, 39-41, 40-042 Katowice, Polska
KEYWORDS
TOPICS
ABSTRACT
Introduction and objective:
The dynamic development of new technologies in medicine creates legal and ethical challenges. The aim of this article is to present the use of artificial intelligence (AI) in medicine and to discuss the
associated ethical and legal dilemmas. Special attention was paid to the amended Code of Medical Ethics.
Review methods:
A literature review was conducted based on a selection of scientific publications, official
legal documents, expert materials on the application of artificial intelligence in medicine and the amended Code of Medical Ethics. The PubMed and Google Scholar databases were searched using the following key words: artificial intelligence, AI algorithms, medical ethics, Code of Medical Ethics, medical law. Additional literature was retrieved from websites, such as WHO, EMA, NIL, and OECD. The exclusion criterion was the date of publication; articles and documents published before 2015 were excluded.
Brief description of the state of knowledge:
In recent years artificial intelligence (AI) has been developing rapidly across many sectors, including medicine. The integration of AI is creating new opportunities to support physicians in diagnosis, therapy and the analysis of medical data. Due to this, the work of physicians is faster, more efficient, more accurate and more accessible to patients worldwide. However, its growing role brings ethical challenges and underscores the need to educate medical professionals. The response to these needs is the amended Code of Medical Ethics in effect from 1 January, 2025.
Summary:
Artificial intelligence (AI) offers significant opportunities to support physicians in diagnosis and treatment. However, its rapid development requires careful consideration of ethical and legal frameworks, as well as proper education of physicians to ensure safe and effective use of AI in medical practice.
REFERENCES (33)
3.
Krishnan G, Singh S, Pathania M, et al. Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm. Front Artif Intell. 2023;6:1227091.
https://doi.org/10.3389/frai.2....
4.
Jeong J, Kim S, Pan L, et al. Reducing the workload of medical diagnosis through artificial intelligence: A narrative review. Medicine (Baltimore). 2025;104(6):e41470.
https://doi.org/10.1097/MD.000....
5.
Pham T. Ethical and legal considerations in healthcare AI: innovation and policy for safe and fair use. R Soc Open Sci. 2025;12(5):241873.
https://doi.org/10.1098/rsos.2....
11.
Mohd Salim NA, Roslan NS, Hod R, et al. Exploring Critical Components of Physician-Patient Communication: A Qualitative Study of Lay and Professional Perspectives. Healthcare (Basel). 20235;11(2):162.
https://doi.org/10.3390/health....
14.
Lekadir K, Frangi AF, Porras AR, FUTURE-AI Consortium. FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare. BMJ. 2025; 388:e081554.
https://doi.org/10.1136/bmj-20....
16.
Sezgin E. Artificial intelligence in healthcare: Complementing, not replacing, doctors and healthcare providers. Digit Health. 2023;9:20552076231186520.
https://doi.org/10.1177/205520....
17.
Guo W, Chen Y. Investigating Whether AI Will Replace Human Physicians and Understanding the Interplay of the Source of Consultation, Health-Related Stigma, and Explanations of Diagnoses on Patients' Evaluations of Medical Consultations: Randomized Factorial Experiment. J Med Internet Res. 2025;27:e66760.
https://doi.org/10.2196/66760.
18.
Chen M, Zhang B, Cai Z, et al. Acceptance of clinical artificial intelligence among physicians and medical students: A systematic review with cross-sectional survey. Front Med (Lausanne). 2022;9:990604.
https://doi.org/10.3389/fmed.2....
28.
Naczelna Izba lekarska: Ogólnopolskie Forum Prawa Medycznego i Etyki Lekarskiej: Ostatnie zmiany w Kodeksie Etyki Lekarskiej i ich znaczenie dla codziennej praktyki lekarzy.
https://nil.org.pl/aktualnosci... (access: 3.06.2025 r.).
29.
Ardila D, Kiraly AP, Bharadwaj S, et al. End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography [published correction appears in Nat Med. 2019;25(8):1319.
https://doi.org/10.1038/s41591....
30.
Silva HECD, Santos GNM, Leite AF, et al. The use of artificial intelligence tools in cancer detection compared to the traditional diagnostic imaging methods: An overview of the systematic reviews. PLoS One. 2023;18(10):e0292063.
https://doi.org/10.1371/journa....
31.
Muzammil MA, Javid S, Afridi AK, et al. Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases. J Electrocardiol. 2024;83:30–40.
https://doi.org/10.1016/j.jele....
32.
Krittanawong C, Zhang H, Wang Z, et al. Artificial Intelligence in Precision Cardiovascular Medicine. J Am Coll Cardiol. 2017;69(21):2657–2664.
https://doi.org/10.1016/j.jacc....
33.
Sezgin E. Artificial intelligence in healthcare: Complementing, not replacing, doctors and healthcare providers. Digit Health. 2023;9:20552076231186521.
https://doi.org/10.1177/205520....