Artificial intelligence is transforming kidney transplantation by enhancing every stage of the process, from donor-recipient matching to long-term post-transplant monitoring. In leading centers such as Mayo Clinic and Cleveland Clinic, AI-driven algorithms analyze vast datasets—including medical history, genetic markers, imaging results, and immunological profiles—to predict organ compatibility and reduce the risk of rejection. Machine learning models help clinicians assess graft survival probabilities, optimize immunosuppressivetherapy, and detect early warning signs of complications through real-time data from electronic health records and wearable devices. By improving precision, reducing human bias, and enabling proactive care, AI is not only increasing transplant success rates but also enhancing patient outcomes and long-term quality of life.