Enhanced healthcare accessibility
According to research, there are considerable differences in the average life span between industrialized and developing countries. Countries in the developing world fall behind their developed counterparts in implementing and using cutting-edge medical technology that may provide adequate treatment to the general public. There is also a lack of skilled healthcare personnel (like surgeons and radiologists) and well-equipped healthcare facilities, affecting care delivery in these areas. For example, artificial intelligence (AI) may facilitate a digital network that supports speedier diagnosis and classification of patients to the appropriate level, or artificial intelligence (AI) may reduce the treatment modality. Antibacterial Nanorobots, for example, are used on patients who are awaiting surgery to eliminate all blood-borne pathogens. Perhaps the best feature is the real-time access to AI-backed information about the patient’s current situation. This has reassured patients, particularly those hesitant about undergoing surgery under general anesthesia(Gambus & Jaramillo, 2019). By taking over some diagnostic activities, AI in healthcare may also assist fill a gap caused by a lack of healthcare experts in distant and low-resource locations. With the help of artificial intelligence (AI), it is possible to quickly analyze X-rays and other diagnostic investigations using techniques such as machine learning (ML).