The out of their data.ARTIFICIAL INTELLIGENCE IN MEDICAL TECHNOLOGY

 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 machines, especially computer systems. These processes include learning {the acquisition of the information and rules for using the information}, reasoning {using the rules to reach approximate or definite conclusions}, and self-correction. Particular applications of AI include expert systems, speech recognition and machine vision.Today, it is an umbrella term that encompasses everything from robotic process automation to actual robotics. AI can perform tasks such as identifying patterns in the data more efficiently than humans, enabling businesses to gain more insight out of their data.ARTIFICIAL INTELLIGENCE IN MEDICAL TECHNOLOGY / APPLICATIONSMedical artificial intelligence (AI) mainly uses computer techniques to perform clinical diagnoses and suggest treatments. AI has the capability of detecting meaningful relationships in a data set and has been widely used in many clinical situations to diagnose, treat, and predict the results. The purpose of this special issue is to demonstrate the potential of several intelligent approaches exploited in the medical informatics technologies and applications. Artificial intelligence (AI) in health care uses algorithms and software to approximate human cognition in the analysis of complex medical data. The primary aim of health related AI applications is to analyse relationships between prevention or treatment techniques and patient outcomes. AI programs have been developed and applied to practices such as diagnosis 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 National Health Service, multinational technology companies such as IBM, Google, have created solutions for the usage in various industries.  Medical technological advancements occurring over this half century period that have simultaneously enabled the growth of healthcare related applications of AI, which include: Improvements in computing power resulting in faster data collection and data processing.Increased volume and availability if healthcare data from personal and healthcare related devices.Growth of genomic sequencing databases.Widespread implementation of electronic health record systems.Improvements in natural language processing and computer vision, enabling machines to replicate human perceptual processes. Common setbacks of artificial intelligence in healthcare include a lack of data exchange, regulatory compliance requirements and patient and provider adoption. AI has come across all of these issues, narrowing down the areas in which it can succeed.The most popular use of artificial intelligence in healthcare is in IBM’s smart cloud, where Watson lives. The Watson platform has been used in a number of disciplines within healthcare including with payers, oncology and patient risk assessment. Examples of companies using artificial intelligence in medical field:IBM: IBM’s Watson oncology is in development at Memorial Cancer Centre and Cleveland Clinic. IBM is also working with CVS Health on AI applications in chronic treatment.Microsoft: It analyses medical research to predict the most effective cancer drug treatment options for patients. Other projects include medical image analysis of tumour progression and development of cancer cells. Intel: Intel venture arm Intel capital recently invested in startup Lumiata which uses AI to identify at risk patients and develop care options. The capabilities of AI do not stop at understanding human commands and knowing what type of response is needed. For example, AI has been used in many advanced use cases in oncology to help detect abnormalities in X-rays and MRI’s, in genomics to perform complex processing and in precision medicine to provide assistance in creating highly customised treatments for individual patients.                                                                                                                                        A.PRIYANKA- 04                                                                SHERLY                                                               BMS – 1

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