Lithium silicate glass‐ceramics for dental restoration: From fundamental properties to machine‐learning design

With the increasing demand for synergistic performance in “mechanical–aesthetic–biocompatibility” properties of dental restoration materials, lithium silicate glass‐ceramics (LSGCs) have emerged as a core material in fixed prosthodontics, owing to the unique advantages of their “glass–crystal” biphasic composite structure. This article provides a systematic review of recent research advances in LSGC from multiple perspectives, including chemical composition, microstructure, mechanical properties, and aesthetic characteristics. It discusses the effects of composition regulation, morphology control, and environmental factors on the mechanical and optical properties of LSGC. Furthermore, it explores the application of machine learning in performance prediction and inverse design—such as analyzing adhesion mechanisms and color matching—while also addressing current challenges, including unclear long‐term performance in multifield coupled environments and the difficulty in achieving high mechanical–optical performance synergy. Future development trends focus on multiscale reinforcement, intelligent bioinspired modification, and machine‐learning‐driven full‐chain design, facilitating the transition of LSGC from empirical optimization toward personalized and intelligent restorative materials.