re system is shown in Figure 4.5. This is followed by using advanced analytics and machine learning techniques to unleash important insights from the billions of data elements associated with robot- assisted surgery [49]. When used properly, it can help overcome the associated ineffi- ciencies and improve patient health. AI helps surgeons make better clinical decisions in real time during surgery and understand patient dynamics, especially during com- plex surgery [50-51]. In addition, the length of hospital stay for patients has been reduced by 21%. This ultimately reflects on the patient's postoperative care and long- term health. It also prevents patients from being hospitalized again, saving millions of dollars each year. By 2026, AI-powered virtual nurses could ultimately save $20 billion annually in the U.S. healthcare industry [46]. They can answer patient questions 24 hours a day, 7 days a week, monitor patients and guide them as required. Currently, they act as a bridge for information exchange between caregivers (doctors) and care recipients (patients), determining which medications to start using, current health status, and the latest test results. The patient can be saved from many physical examinations Training Keeping Well Smart healthcare is generally known as the The subject-didactic academic field of use of eHealth and mHealth (Mobile Health) educating medical doctors at all levels. Training systems through intelligent & connected including entry-level, post-graduate, and medical systems. continuing medical education. Research Keeping Drug Research Early screening According to the California Biomedical It is good news that, with the rapid increase Research Association. it takes around 12 in computation power and availability of years for a drug to be conceived in the AI and health data. healthcare applications can laboratory and go to the patient. include artificial intelligence and thus End of Early Robotics become smart healthcare. Life Care Detection End of Life care Diagnosis End-of life care