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.