Artificial Intelligence in Medical Field—Practical Observations from the Perspective of Medical University

The implementation of artificial intelligence (AI) in the medical field promises significant benefits, including increased diagnostic accuracy, better patient outcomes, and streamlined healthcare processes. The article delves into the initial stages and obstacles encountered in the practical application of AI in medicine, drawing on the experience of the Medical University of Wrocław (WMU) and the Wrocław University of Economics (WUEB). The aim of the article is to describe the main reasons determining the need to digitize information resources used by medical entities such as hospitals and academic centers in order to share knowledge and provide innovative solutions. It discusses the emergence of digital medicine centers and the methodologies used to create them, shedding light on the multifaceted nature of medical data, including electronic health records, biobank repositories, and clinical trial datasets. Against this background, the possibility of using artificial intelligence methods was shown. The article has been prepared using research methods such as literature analysis, available reports and project guidelines, and the qualitative methods like a analysis of documentation, analysis of IT solutions, interviews with project participants, participatory observations and analysis of the studied case study. This paper provides invaluable insights and recommendations for institutions starting to implement AI in a medical context, highlighting the importance of interdisciplinary collaboration, meticulous data analysis, and a comprehensive strategy.