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How Machine Learning Is Helping the Healthcare Industry?

The Healthcare industry has been one of the early adopters of all the technological advancements. Machine Learning and Artificial Intelligence have been the focal point for technology in the recent few years; as a result, they have already started to make their way in the healthcare industry. Whether be it health-related problems, development of new medicines, performing critical surgeries or handling patients records and data, Machine Learning is everywhere. The rate at which the healthcare industry is moving, we can truly say that ‘AI is the new future of Healthcare.’

There are several benefits to incorporating AI and ML into the daily lives of physicians and hospitals. It can help in better decision making, identifying diseases quicker than comprehended and above all, provide a tailored treatment procedure for a better outcome.

Machine Learning has benefited the healthcare industry in the following ways:

1) Smart Records

With the help of smart records, the healthcare industry can bring down the overall cost of the EMR systems. The ultimate goal with smart records is to provide improved healthcare at a much lower cost. Such implementation of ML is done by standardising and optimising the designs of the systems to work efficiently even at an affordable cost.

2) Image Processing and Diagnostics

Image processing and diagnosis have a very crucial role in healthcare. Machine Learning can help pathologists to make much accurate and quicker diagnostic reports. Take, for instance, Microsoft’s project InnerEye can help to differentiate between tumours and healthy anatomy with the help of Machine Learning using 3D radiological images. Assisting medical experts are among those few things that ML have to offer in healthcare.

3) Development of New Medicines and Drugs

Developing new medicinal drugs is a tedious process in itself. But, with Artificial Intelligence Powered platforms, such trial and error process have been made easy. Take our words, discovering new medicines have never been easier before. ML and Data Science can make the best use of advanced laboratory technologies with the only goal of efficiently curing patients at a much lower cost.

4) Medical Data

Medical data needs to be accessed 24/7, and that is exactly what ML can offer to the healthcare industry. It can help both the hospital and their employees save a lot of time and money by making easier and efficient choices. Medical data are also being used to create a better match for the patients with their doctors. You can obviously take it as the patient’s own tinder.

5) Better Treatment and Disease Predictions

The whole reason behind ML is to provide better treatment, and that is exactly what it does. For example, with the help of AI and ML, a company named Beta Bionics has developed wearable bionic pancreas, which can keep the blood sugar level of type 1 diabetes in check. Think by yourself, how much more convenient can it get than such technological improvement?

Wrapping Up

While many people are dead against the use of AI and ML into healthcare, there is nothing wrong about it. People might come up with favourable opinions like anything can go wrong while trusting the machines and whatnot. Still, truth to be told the same goes for doctors and every other individual who works at the hospital. So, in order to truly evolve, it is in our best interest to accept the reality and let the machines make our life simpler.

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