Mapping the Evolution of Artificial Intelligence in Medical Materials

The application of artificial intelligence (AI) in medical
materials
has been extensively explored, encompassing areas such as composition
optimization, shape design, and manufacturing processes. However,
a comprehensive study and analysis of the overall research landscape
in this field remain scarce. To bridge this gap, this study employs
bibliometric analysis to evaluate 108 publications from the Web of
Science Core Collection database. The results reveal that research
in this domain spans nearly two decades, with a notable surge in publications
since 2018, probably driven by advancements in deep learning. Additionally,
the study identifies significant challenges in AI for medical materials,
such as clinical validation, de novo design, and precise manufacturing.
These insights may provide guidance for future research in AI-enabled
medical materials development.