Why are deep learning, machine learning and AI so important in telemedicine and other types of medical services?

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The fields of machine learning and artificial intelligence have many exciting applications to the medical field in general, and telehealth in particular.

One of the biggest and most primary of these synergies is in document review. IBM is revealing how its Watson Health program is able to analyze millions of pages of medical information within seconds, and draw conclusions that can be used for diagnosis, comparison and more. The enormous power of machines to handle large volumes of data is combined with analytical and decision-making prowess in machine learning and artificial intelligence technologies.

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Beyond just dealing with information, though, machine learning and artificial intelligence can also bring new capabilities to patient examination. For example, in radiology, machine learning algorithms can look at radiology scans and other resources to find evidence of outcomes and realities that can guide human decision-makers.

As another formative example of the power of machine learning and diagnosis, National Institute of Health resources document automated analysis of retinal imaging, which can help to detect certain types of sight loss linked to diabetes.

In addition to all of the above, which is very substantial and groundbreaking functionality, there is also a range of ways in which machine learning and AI can assist with the daily realities of telemedicine. From scheduling to consultation and examination to diagnosis to billing, these types of technologies will be able to automate the telehealth process.

In early telemedicine, the concept was relatively simple – instead of being physically present to do house calls or to consult or examine a patient from remote areas, doctors used videoconferencing and related technologies.

However, with machine learning and AI, doctors will be able to combine that with decision support tools – the automating technologies will do a lot of the work. Doctors will review it and sign on – instead of being only supported by videoconferencing, doctors will also be supported by key assistive technologies that are thinking and learning on their own. This will dramatically change the field of telemedicine soon and rather permanently.

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Justin Stoltzfus
Justin Stoltzfus

Justin Stoltzfus is an independent blogger and business consultant assisting a range of businesses in developing media solutions for new campaigns and ongoing operations. He is a graduate of James Madison University.Stoltzfus spent several years as a staffer at the Intelligencer Journal in Lancaster, Penn., before the merger of the city’s two daily newspapers in 2007. He also reported for the twin weekly newspapers in the area, the Ephrata Review and the Lititz Record.More recently, he has cultivated connections with various companies as an independent consultant, writer and trainer, collecting bylines in print and Web publications, and establishing a reputation…