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Personalized bone implants based on additive manufacturing are gradually emerging as a significant development direction in orthopedic restoration. By precisely matching anatomical structures and the functional requirements of patients, they demonstrate notable clinical advantages. Research progress in structural design, material selection, fabrication processes, and performance evaluation has been systematically outlined around the core research chain of personalized bone implants. Personalized design methods, material selection criteria, and the applicability of different additive manufacturing processes are analyzed in detail. The performance indicators of the implant are further comprehensively evaluated. The promoting role of multi-performance materials and intelligent manufacturing technology in complex bone repair functions has been revealed. The development of artificial intelligence transforms clinical data into long-term performance prediction models, further driving in-depth research in this field.
Gao et al. (2025) studied this question.