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Systematic View and Impact of Artificial Intelligence in Smart Healthcare Systems, Principles, Challenges and Applications
21
Zitationen
4
Autoren
2022
Jahr
Abstract
As artificial intelligence (AI) becomes increasingly common in business and everyday life, it is quickly being used in healthcare. Artificial intelligence is showing signs of being able to assist healthcare providers in a variety of ways, including patient care coordination and administrative tasks. The bulk of AI and healthcare technologies are beneficial in the healthcare field; however, the techniques they support may differ significantly. While some research on artificial intelligence in healthcare suggest that it is capable of doing various procedures as well as or better than humans, other studies show that it cannot. The purpose of this chapter is to explain why the Artificial Intelligence in Healthcare System works the way it does. There are a variety of concepts, difficulties, and applications to consider. It offers a comprehensive collection of analytic algorithms that are especially created for in-depth data analysis. In healthcare systems, decision trees, Support Vector Machines, and Artificial Neural Networks are all regarded as excellent at understanding difficult data. After analytics have been properly configured, a variety of services for archiving, managing, retrieving, protecting, securing, sharing, and augmenting data may be provided. At the end of the chapter, suggestions for various sorts of analytics tools will be presented. Furthermore, AI enhances the ability of healthcare personnel to understand better the day-to-day patterns and needs of the people they care for, allowing them to provide more feedback, guidance, and assistance to help them stay healthy. AI is currently being used to diagnose diseases such as cancer in their early stages. Many mammograms provide misleading findings, according to the American Cancer Society, resulting in one out of every two premenopausal women being diagnosed with breast cancer. Artificial intelligence can now examine and interpret mammograms 30 times quicker and with 99% accuracy, obviating unneeded biopsies.
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