Artificial intelligence-based biomaterials characterization

Biomaterials are advantageous in an extensive range of medical and therapeutic applications. Because of their biocompatibility, biomaterials provide treatment for different fields. The need for innovations has been imperative; thus, the introduction of artificial intelligence (AI) in their domain has been developing over time to take advantage of their properties. Biomaterial characterization is a combination of theoretical and experimental methods and experimental testing, which indirectly leads to the spread of relevant scientific knowledge through model phenomena in particular materials, which then enables their practical applications. AI is used to analyze data from X-ray diffraction, X-ray photoelectron spectroscopy, transmission electron microscopy, and scanning electron microscopy. AI and machine learning (ML) models can also be used to identify the patterns and relationships in datasets. This chapter discusses the role of AI and its associated algorithms in facilitating and assisting the distinction and characterization of biomaterials for further research and advancement.