Update and Acceleration of Health Care Using Artificial Intelligence in Medical Treatments and Diagnostics


  • Jeffrey Jarrett URI/College of Business




Data analytics; Artificial intelligence; (AI) Autoregressive moving average Modeling; Machine Learning; Multivariate Models; Autocorrelation of Data


Researchers support the growth of artificial intelligence and similar methods in health and medical care for the purpose of continuously improving processes. By focusing on the growth on data analytics, statistics, applied mathematics, and computer methods including machine learning, the future of health-care methods will change. The development of computerized methods and the growth of data systems produce ample materials for artificial intelligence to develop and to bring physician assistance programs to enable continuous improvement resulting in superior health and medical care. This includes applications in intensive care as well as diagnostic therapies. The focus is on examples in the use of the promising developments in data science methods, the accumulation of medical and research data. With quality and continuous improvement in process control applications where one determines the usefulness of data analytics, there are great possibilities of change in the improvement in medical applications as well as the management of medical and health-care treatment and diagnostic facilities.




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How to Cite

Jarrett, J. (2022). Update and Acceleration of Health Care Using Artificial Intelligence in Medical Treatments and Diagnostics. Advances in Social Sciences Research Journal, 8(12), 394–400. https://doi.org/10.14738/assrj.812.11425