Artificial general intelligence (AGI) has emerged as an innovative force in the constantly changing healthcare industry, with a wide range of applications aimed at better patient care, simplifying procedures, and eventually optimizing health outcomes. In this paper, we will discuss how AGI-driven solutions optimize resource allocation, improve workflow management, and promote patient-centric care delivery in the context of smart hospitals. By quickly finding new compounds, AGI speeds up medication discovery in the pharmaceutical industry, drastically cutting down on development times. Robotic surgery improves surgical precision by utilizing AGI and machine learning to carry out complex procedures with unmatched accuracy. Through remote consultations, intelligent robotic devices used in telemedicine provide access to health care in rural regions. Data analytics is used by AGI-driven early disease diagnosis to identify abnormalities and forecast sickness onset, enabling prompt and proactive therapies. AGI-based chatbots are essential tools for patients, providing individualized assistance and details on appointments and medical questions. Additionally, the use of AGI in decision-making guarantees that medical practitioners have access to data-driven insights, enabling well-informed and efficient treatment decisions. Furthermore, AGI's aptitude for spotting tumors through the use of sophisticated picture analysis holds the potential for early cancer diagnosis and, eventually, life-saving therapies. There are many and varied uses of AGI in health care that show the potential to revolutionize healthcare delivery by fostering effectiveness, precision, and patient-centricity.