This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
College in Trstenik, Academy of Applied Studies Sumadija , Trstenik , Serbia
College in Trstenik, Academy of Applied Studies Sumadija , Trstenik , Serbia
Faculty of Information technology and engineering - FITI, University Union - Nikola Tesla , Belgrade , Serbia
The processes of simulation and modeling in medicine are not new. The popularization of modern technologies, primarily Artificial Intelligence (AI), has significantly impacted this segment of medical practice. This primarily refers to the development of predictive models and the creation of intelligent simulators based on these technologies. These systems are built on concepts of Artificial Intelligence such as Machine Learning and Deep Learning. They enable diagnostics, outcome prediction, data analysis, and patient privacy protection. Simulations and models based on AI have significant applications in medical education for both current and future medical professionals.The application of AI in medical simulation and modeling brings challenges and limitations, including technical, ethical, and legal aspects. Technical issues include choosing the appropriate topology of neural networks and a lack of data for system training. Ethical and legal questions involve the lack of regulation and accountability in case of errors. Future directions for the development of these technologies in this field include integrating human and artificial capabilities to achieve better patient outcomes. A multimodal approach to artificial intelligence and the development of large-scale language models promise to enhance the performance of AI systems, positively impacting the segments of medical practice where they are applied.
The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.
