Jakub Kufel is a researcher at the Department of Radiology and Nuclear Medicine, Medical University of Silesia in Katowice. His scientific activity centers on the application of artificial intelligence in radiology, with particular focus on the use of machine learning and deep learning algorithms in medical diagnostics. He is the editor of the scientific monograph series Innovations in Medicine – A Review of Selected 21st Century Technologies, which currently includes over 20 published volumes exploring cutting-edge developments in contemporary healthcare. His most cited work, What is machine learning, artificial neural networks and deep learning? - Examples of practical applications in medicine, has gained wide recognition for its clear exposition of AI fundamentals and their implementation in clinical settings. His upcoming research projects are focused on the use of AI for advanced brain assessment and investigating the potential impact of microplastics on ischemic stroke. His work lies at the intersection of technological innovation and clinical relevance, aiming to bridge emerging digital tools with real-world medical challenges.