Artificial intelligence technologies in healthcare in the global patent ecosystem: 2000–2023

Abstract

The World Health Organization records an unprecedented increase in global health care spending with a trend of further growth until 2050. Artificial intelligence (AI) technologies are considered one of the key tools for increasing the efficiency of these expenses. One of the information sources that gives an idea of the scale and intensity of extensive research, the solutions found, their concepts and global technology leaders is the world portfolio of patent documents. In this study, a patent analysis of the technological field “Artificial Intelligence in Healthcare” was performed. The results of this analysis proved the research direction to be one of the most dynamically developing scientific and technological trends of the last decade. It has been shown that two key thematic clusters of this direction are the use of machine learning algorithms to create predictive and diagnostic models, and developments in the field of large language models (LLM). Russia is among the top 15 countries in the world in terms of patent activity in the direction of “Technology of language models in medicine,” but remains somewhat behind the leading countries in the number of patent families