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Vol 19 (2024): Continuous Publishing
Review paper
Published online: 2024-05-17

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How can artificial intelligence be made into an ethically sound diagnostic instrument in medical practice?

Anna Maria Wojtkiewicz1, Magda Marta Piekarska1, Artur Mamcarz2, Daniel Śliż2
DOI: 10.5603/fc.98299


The use of solutions from the field of artificial intelligence (AI) can help improve the quality of services in the healthcare sector. AI algorithms allow faster processing and analysis of data, and thus a more efficient process of diagnosing patients. But looking more into detail, it’s obvious that AI-generated solutions are still not on a 100% accuracy scale. Their algorithms are subject to biases that can exclude disadvantaged groups in society. Machine learning bias, alternatively termed algorithmic bias or AI bias, refers to the occurrence wherein an algorithm produces consistently skewed outcomes as a result of flawed assumptions embedded within the machine learning process. This is a situation where a valid algorithm excludes certain data or groups of data. The purpose of this article is to outline the issue of the ethical application of artificial intelligence in the medical sector with a particular focus on artificial intelligence bias. In medicine, this is an important issue as it translates into the quality of care for patients and how their chances of recovery are distributed. The following article addresses the legal issues and how artificial intelligence is classified by the European Union, the issues of artificial intelligence bias and its risks, along with examples of attempts to implement artificial intelligence in the medical sector to date and the prospects for the application of artificial intelligence in the medical sector with a particular focus on cardiology. Based on the following conclusions, it is recommended to persist in the advancement of artificial intelligence, with emphasis on the enhancement of algorithms. Despite its flaws, it is still a remarkably helpful diagnostic tool that should be widely introduced into the daily practice of physicians. This article is written using the method of analysis and critique of the literature, national and European Union legislation, and a review of existing research on the application of artificial intelligence in medicine.

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