Artificial Intelligence in Healthcare: A Review of Foreign Publications

In recent years, artificial intelligence (AI) has been actively implemented into various fields of medicine, transforming the diagnosis, treatment and prognosis of diseases. This article provides an overview of current research by foreign authors on the role of AI in healthcare. Key areas are considered, including medical image analysis, predictive modeling, personalized medicine, and automation of clinical processes. Among the reviewed works is a study by F. Amisha, P. Malik, M. Patania and V.K. Rathaur, dedicated to the use of AI in the diagnosis of cancer, as well as the works of K. Kulikovski and Z. Ahmad and colleagues, analyzing the ethical and legal aspects of the introduction of AI. The contributions of D. Holzner et al. cover the use of machine learning in epidemiological research, while F. Gama, D. Tiskbo et al. consider AI in the management of hospital systems. Special attention is paid to the challenges associated with the integration of AI into clinical practice, including issues of trust, interpretability of algorithms and data protection. The article summarizes the current achievements and prospects for the development of AI in medicine, based on the opinions of leading experts in the field.