Abstract
Abstract The patent trend analysis provides sound knowledge about the possibility of exploring potential innovation/R&D and gives an insight into which countries and companies are mostly investing in artificial intelligence (AI) technologies involved with non-small cell lung cancer (NSCLC) medical care. By comparing patent indicators changes of two decades from 2001 to 2020, the most active countries and companies are identified to provide perceptions of global patent variations. In line with this, we apply a comprehensive software INNOVUE to analyze the patent trend based on the Worldwide Patent Office database. According to previous research, 315 patents are selected as the appropriate patent analysis data. The analysis result is a series of trend maps that show the trend of patent development from the early stage to current changes. This study findings evaluate government’s/company’s concern and motivation about the investment in R&D capability of AI technology related patents, and indicate who plays the main role around the world regarding the application of AI combined with NSCLC medical treatment. JEL classification numbers: C80, D81, E27. Keywords: Patent trend analysis, Artificial intelligence technologies, NSCLC.
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