The Impact of Artificial Intelligence in Healthcare in Medicine Field

artificial intelligence in healthcare


 Artificial intelligence (AI) has revolutionized millions of industries over the past half-decade, but it's also quickly becoming application-focused in health care.  Studies are underway across numerous healthcare sectors on the latest techniques for using artificial intelligence in medicine and how they can benefit both patients and healthcare professionals. For example, studies are currently underway in New York City on how medical professionals can use facial-recognition software to identify, remember and diagnose various conditions such as diabetes and asthma; and in London on how computer software programs could be used to improve bedside manner in nurses.

Another area in which Artificial intelligence in healthcare is being used is through the implementation of new algorithms to improve decision-making in the clinical setting. These algorithms are designed to deal with both known and unknown conditions and diseases, and the best ones will be the ones that take the least amount of time to process information from large databases. These databases are being compiled by large international medical research firms such as Google and Oxford University, and these databases hold a wealth of information on over a billion people. One challenge doctors and other healthcare workers face is sorting out the different sources of data on diseases and conditions so that true results can be derived.

Artificial intelligence in healthcare is not only impacting the way that doctors work but how patients receive treatment as well. Research is currently underway on how algorithms can be used to improve healthcare outcomes through improved medication, treatments, and diagnosis. Researchers are also exploring ways to incorporate these algorithms in the environment of the patient. An example of this might be using voice recognition technology to identify possible asthma patients without patient recall, or using location-based services to send patients to the most suitable health care team or physician based on their proximity to centers for urgent care or hospitalization.

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