ARTIFICIAL INTELLIGENCE IN MEDICAL TECHNOLOGYSay no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an original essay What is ARTIFICIAL INTELLIGENCE? The term AI was coined by John McCarthy, an American computer scientist, in 1956. AI or artificial intelligence is the stimulation of human intelligence processes by computer systems. These processes include learning (obtaining information and rules for using information), reasoning (using rules to reach estimated or definite conclusions), and self-correction. Particular applications of artificial intelligence include expert systems, speech recognition and computer vision. Today it is an umbrella term that incorporates everything from robotic process automation to actual robotics. AI can perform tasks such as identifying patterns in data more efficiently than humans, allowing companies to gain a greater understanding of the data. ARTIFICIAL INTELLIGENCE IN MEDICAL TECHNOLOGY Medical AI primarily uses computer techniques to perform clinical diagnoses and suggest relevant treatments. Artificial intelligence has the ability to identify meaningful relationships in a data set and is widely used in many clinical situations to diagnose, treat, and predict outcomes. The purpose of this issue is to demonstrate the capability of different intelligent approaches leveraged in medical informatics technologies and applications. Artificial intelligence in healthcare uses algorithms and software to approximate human understanding in analyzing complex medical data. The main purpose of AI applications in healthcare is to analyze prevention or treatment techniques and patient outcomes. AI programs have been developed and applied to practices such as diagnostic processes, treatment protocol development, drug development, personalized medicine, and patient monitoring and care, among others. Medical institutions such as the Mayo Clinic, Memorial Sloan Kettering Cancer Center, and the National Health Service, multinational technology companies such as IBM and Google, have created solutions for using artificial intelligence in various industries. Medical technological improvements that have occurred during this half-century have enabled the growth of AI applications in healthcare, which include: Improvements in computing power resulting in faster data collection and processing. Increased volume and availability of health data from personal and healthcare devices. Growth of genomic sequencing databases. Widespread implementation of electronic health record systems. Improvements in natural language processing and computer vision, which allow machines to replicate human perceptual processes. Common barriers of AI in healthcare include lack of data exchange, regulatory compliance requirements, and patient and provider adoption. AI has addressed all of these problems, narrowing down the areas where it can succeed. The most popular use of AI in healthcare is in IBM's smart cloud, where Watson lives. The Watson platform has been used in the healthcare industry addressing patient, oncology and payer risk assessment. Examples of companies using AI in the medical field: I. IBM: IBM's Watson oncology is in development at Memorial Cancer Center and the Cleveland Clinic. IBM is also – 1