ABSTRACT
Artificial intelligence (AI) is increasingly being used in healthcare due to the increasing complexity and volume of data. Additionally, AI is currently being used by pharmaceutical and biotechnology companies as well as payers and healthcare providers. Furthermore, AI assists thousands of individuals in diagnosing and treating illnesses, along with keeping patients on track with their treatment plans. Although AI is one of the most exciting robotics topics, it has only recently entered the healthcare industry. It is most commonly used in “deep or non-deep machine learning,” the process of making computers smarter through new research. On the other hand, previous models concentrated on a specific function or type of AI rather than supporting patients and physicians during surgery. Based on studies, the broad coverage of AI in medical applications led to the construction of a graphical representation conceptual model. Moreover, blockchain technology is used to connect patients and professionals before, during, and after surgery. Interestingly, in some circumstances, AI can help arrange a doctor’s appointment or choose a suitable time for it. Subsequently, AI assists doctors in developing future 176treatments and patients in preparing for surgery. Besides, the third sort of learning is deep learning. In addition, by analyzing medical data and prescribing therapy, AI can assist post-operative patients.
