Artificial intelligence in medical technologies: Automation of diagnostics, treatment prediction and development of innovative pharmaceutical solutions

This article examines the role and potential of artificial intelligence in transforming modern medicine through three key areas: automation of diagnostic processes, treatment prediction, and the development of pharmaceutical drugs. The relevance of this topic is driven by the growing disparity between the exponential increase in medical data volume and the limited human capacity to process and interpret this information. The objective is to conduct a comprehensive analysis of innovative AI technologies and their ability to bridge this gap. The scientific community remains divided regarding the effectiveness and ethical justification of AI-driven solutions, with opinions ranging from optimistic assessments of technological potential to critical perspectives on AI’s ability to address structural challenges in healthcare. The findings emphasize that AI integration does not imply replacing physicians with machines but rather creating a synergistic partnership in which human cognitive abilities are complemented by computational power and the analytical potential of artificial intelligence. The author's contribution lies in the systematization of cutting-edge developments in medicine and the identification of promising areas for further advancement, such as multimodal data integration, robotics, and neurointerfaces. The materials presented in this article will be valuable for medical professionals, AI researchers, and healthcare administrators.