Automation Research

Doctors, data, and diseases: How AI is transforming health care

Health care doesn’t have a big dataBig Data describes data collections so big that humans are not capable of sifting through all of it in a timely manner. However, with the help of algorithms it is usually possible to find patterns within the data so far hidden to human analyzers.  problem. It has a big data opportunity , thanks to artificial intelligenceArtificial Intelligence knows many different definitions, but in general it can be defined as a machine completing complex tasks intelligently, meaning that it mirrors human intelligence and evolves with time.. Think about the number of inefficiencies in your daily life — long lines, traffic jams, a reliance on “snail mail” for certain bills or communications. Those inefficiencies are inconvenient and annoying, yes, but they are usually not a matter of life and death. Health care is different. The need for productivity in health care is different. The potential for automation in health care is different. In fact, it’s greater.

Data: The driving force

The amount of data in health care is mind-boggling. As more traditional forms of information like patient records become electronic, we also have new sources of data being digitized — think 4D images of the body and high-resolution genomes. One study in PLOS Biology, a journal published by the Public Library of Science , forecasted that data generated by genomics alone will be on par with that generated by astronomical science, YouTube, and Twitter by 2025.

So how do we possibly make sense of all this information? Machine and can help.

Machine , an approach to achieve artificial intelligence, and , a subset of machine that trains artificial neural networksNeural Networks are simplified abstract models of the human brain. Usually they have different layers and many nodes. Each layer receives input on which it carries out simple computations, and passes on the result to the next layer, by the final layer the answer to whatever problem will be produced.  over time to provide answers to questions with near 100 percent accuracy, can process, analyze, and identify patterns in that information to help improve quality, speed, and access to care.

already making an impact

For example, Stanford University researchers developed an algorithmAn algorithm is a fixed set of instructions for a computer. It can be very simple like "as long as the incoming number is smaller than 10, print "Hello World!". It can also be very complicated such as the algorithms behind self-driving cars. that identified thousands of objective features from pathology images of lung cancer tissue, then trained a computer software program to evaluate the samples. The computer accurately predicted the prognoses of the cancer patients from the slide pathology in a fully automated method that the researchers suggested “could provide […]

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    Are you familiar with nootropics ?

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    I have a feeling you can benefit from nootropics.Have you ever tried them?

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