The demand for healthcare services is ever increasing and many countries are experiencing a shortage of healthcare practitioners, especially physicians. There is already a large amount of evidence that AI algorithms are performing on par or better than humans in various tasks, for instance, in analyzing medical images or correlating symptoms and biomarkers from electronic medical records (EMRs) with the characterization and prognosis of the disease. There is great optimism that the application of artificial intelligence (AI) can provide substantial improvements in all areas of healthcare from diagnostics to treatment. All this data can be used for very detailed personal profiling, which may be of great value for behavioral understanding and targeting but also has potential for predicting healthcare trends.
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Netflix knows which films and series people prefer to watch, Amazon knows which items people like to buy when and where, and Google knows which symptoms and conditions people are searching for. In this chapter, some of the major applications of AI in healthcare will be discussed covering both the applications that are directly associated with healthcare and those in the healthcare value chain such as drug development and ambient assisted living.īig data and machine learning are having an impact on most aspects of modern life, from entertainment, commerce, and healthcare. AI is ready to support healthcare personnel with a variety of tasks from administrative workflow to clinical documentation and patient outreach as well as specialized support such as in image analysis, medical device automation, and patient monitoring. It is generally believed that AI tools will facilitate and enhance human work and not replace the work of physicians and other healthcare staff as such. Big data and machine learning are having an impact on most aspects of modern life, from entertainment, commerce, and healthcare.
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