Yu-Hui Wang
ABSTRACT
Artificial intelligence (AI)- driven development has been recognized as one of top ten strategic technology trends for 2019. The potential use of AI to improve healthcare delivery has a broad range of applications, including imaging and diagnostics, virtual nursing assistants, robotic assisted surgery, drug discovery, hospital workflow, computer integrated health and personalized medicine. However, so far, only few attempts have been made at the patent analysis of smart healthcare technology. This study aims to apply multiple patentometric analyses to explore AI supported healthcare. The results of the study identify that smart healthcare technologies related to machine learning, especially deep learning, have been mostly applied to imaging and diagnostics.
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Index Terms
- Exploring Smart Healthcare Innovations: Multiple Patentometric Analyses
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