Artificial Intelligence (AI) aims to pull off human-like activities. The availability of a large health database can increase the costs of treatment; with changing times now the healthcare sector has started to see improvements in advanced analytics. Cities in a poor country often struggle between the medical benefits of better cities where the lack of healthcare providers becomes the major reason for the unavailability and poor quality of healthcare services in rural areas. Intelligent technology in medical AI will definitely improve the services and receptivity of doctors in rural areas. Perhaps the effort to promote technology in all backward parts around the world can be done as a means to reduce the disparity between urban healthy practice and rural.
Artificial Intelligence is defined as ‘a field of science and engineering concerned with computational understanding of what is commonly called intelligent behaviour and the creation of artifacts that exhibit such behaviour.’ Artificial Intelligence makes it possible for machines to learn from experiences and adapt it. It further accommodates the new input and performs human-like functions thus mimicking actions or predicting the next course of action. The term can also be applied to any machine that exhibits properties associated with the human brain such as learning and problem solving. British mathematician Alan Turing (1950) was one of the founders of modern computer science and AI.
Artificial intelligence in healthcare is the use of algorithms and software to simulate human cognition in analyzing, interpreting, and understanding complex medical and healthcare data. AI can assist physicians in making better clinical decisions or even replace human judgment in certain functional areas of healthcare (e.g., radiology and pathology). The application of AI in healthcare is not new and was first used in the year 1976. In recent times, there have been significant advances in digitized data acquisition, computational power, and computing infrastructure.
This has made it possible for the infrastructure to reach a larger audience. AI applications are expanding into areas that were previously considered the domain of human experts only. Most of these technologies have immediate relevance to the healthcare sector, but the specific processes and tasks they support vary widely.
The application in the field of surgery was first systematically investigated by Gann in 1976, when he explored the possibility of diagnosing acute abdominal pain with computer analysis. From the era of MYCIN, a backward chaining expert system developed in the early 70s, which first used AI to identify infection-causing bacteria to Apple’s machine algorithms that have proven to be far better than humans in predicting heart attacks, AI has come a long way in healthcare in a span of 45 years.
Artificial Intelligence (AI) in medicine can be used from both a virtual and physical perspective. The virtual includes informatics approaches ranging from deep learning information management to the control of health management systems including electronic health records and the active guidance of physicians in their treatment decisions. The physical is best represented by the robots used to assist the attending surgeon. This branch also includes targeted nanorobots, a unique new drug delivery system.
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