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.