This chapter provides an overview of the role of Artificial Intelligence (AI) in the field of regenerative medicine, specifically focusing on its application in tissue regeneration, with a particular emphasis on hard tissue regeneration. The chapter opens with an introduction to AI, highlighting its relevance in regenerative medicine. It then progresses to discuss diverse AI techniques employed for predicting tissue regeneration. Machine learning algorithms, including deep learning networks, have shown promise in accurately predicting the regenerative potential of different tissues, which have shown promising results in accurately predicting the regenerative possibility of various tissues. The possibility of AI to revolutionize the field of hard tissue regeneration is then explored. The chapter further delves into the specific applications of AI in hard tissue regeneration, with a focus on dental and orthopedic applications. In the dental field, AI has shown promise in improving clinical decision-making, optimizing dental implant placement, and predicting the success of bone grafting procedures. Similarly, in the orthopedic field, AI has facilitated the development of personalized treatment plans, improved surgical outcomes, and enhanced fracture healing. Despite these challenges and limitations associated with AI, the chapter highlights the potential of AI to overcome these limitations and further drive advancements in the field of regenerative medicine.