Abstract— The field of the tissue engineering has witnessed remarkable-progress in recent years, largely propelled by the convergence of the smart biomaterials and AI-driven methodologies. Biomaterials with their great ability to interface with the biological systems but also have revolutionized tissue engineering by providing the scaffolds that mimics the native extra-cellular matrix. Concurrently, the well-known AI-artificial intelligence has become a formidable tool for the data analysis, prediction, and an optimization. Assimilating the vast data-sets from the genomics, proteomics, and the clinical studies, AI-driven algorithms guide biomaterial-designs patient specific treatments strategies, and the diseases modeling. This review paper systematically examines recent studies and developments where the synergy of the smart biomaterials and AI-driven approaches have contributed to the tissue engineering advancements. Moreover, this study-paper highlights how AI-algorithms deciphers the complex biological data-sets, offering insights into disease mechanisms and aiding in the customization of biomaterials-based interventions. This as-well under-scores their collective potentials to re-define the landscape of tissue engineering, creating personalized treatments, accelerating drug discovery, and ultimately improving the patients outcomes.