In today's era, Artificial Intelligence (AI) has emerged in addressing a range of challenges within the healthcare sector, particularly by improving diagnostic precision, personalizing treatment plans, and enhancing operational efficiency. The growing demand for healthcare services has brought to light significant issues in patient appointment scheduling, particularly in Oman, where hospitals face difficulties related to extended waiting times and inefficient management of patient flow. The increasing demand of healthcare offerings has highlighted substantial challenges in patient appointment scheduling, particularly in Oman, wherein hospitals struggle with prolonged wait and inefficient patient flow management. The proposed AI-driven live appointment management system provides the solution to the challenges. The proposed system targets a diverse range of customer segments, primarily focusing on healthcare providers and patients. By addressing the specific needs of the targeted groups, the proposed system aims to enhance overall healthcare experience, reduce waiting times, and improve operational efficiency. The system is based on the development of an AI-driven appointment management system designed to address critical challenges in patient scheduling within modern healthcare facilities including AI-Powered Queue Management, Predictive Wait Time Analysis, Intelligent Rescheduling, Integration with Existing Systems and User-Friendly Interfaces. The successful integration and implementation of all layers of the proposed MEDLINK system will significantly benefit the project, positioning it to serve a broad spectrum of stakeholders, including patients, healthcare providers, institutions, administrators, and technology developers. Through the utilization of AI to overcome the challenges associated with appointment scheduling, this initiative seeks to improve the overall healthcare experience, increase operational efficiency, and establish a new industry benchmark.