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Strategic Applications of Applied AI in Healthcare Industry

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Alen Parker
Strategic Applications of Applied AI in Healthcare Industry

Applied AI course is one of the most popular specializations. Applied AI techniques have found massive backing from top industries, and healthcare, in particular, is one area where Applied AI is seen as a game changer already. AI leaders see emerging techniques such as automated document processing, image processing, search discovery, computer vision, and cognitive computing as major innovations ushering healthcare into the new era of hyper growth and development.

There is no doubt that the role of Applied AI in healthcare is only going to grow and it is backed by incentivized insights from medical experts cutting across regions and industries. So, what you should do to fully benefit from an Applied AI course?

Here’s a roadmap for you.

Understanding the Market Prospects

Healthcare is one of the pillars of any economy. By adding technology to the whole mix of things, any economy would ripe immediate and sustainable benefits. These benefits are passed to the patients, healthcare service providers, marketing groups involved with the promotion of services, real estate, and drug manufacturers and equipment makers. Doctors, nurses, assistants, and other employable groups in the industry reap the benefits of Applied AI techniques in their respective functions.

According to a leading AI research on the healthcare industry, AI and machine learning applications would transform the precision medicine, drug engineering,  and other areas of the field by 2025 so as to take the healthcare industry to $300 billion in revenues.

How we will reach there with Applied AI?

Let’s take a modern example in this context.

Healthcare personalization is a huge market for Applied AI companies. A large number of healthcare service providers are promising patients with virtual interaction with doctors and experts through mobile apps. There is an app for every medical ailment or condition you can possibly think of—cancer, nervous disorder, pregnancy, memory loss, blood disorders, bones, and muscle breakdown, etc.

Applied AI in healthcare has the maximum following in these domains:

  • Medical Big Data
  • Medical app personalization
  • Cancer research
  • Drug re-engineering
  • Patient care and management
  • Hospital services management
  • Image processing
  • Equipment designing and supply chain management
  • AI based surgery
  • Telemedicine
  • Automated insurance

There is a colossal volume of healthcare Big Data available that reflects the immense potential of AI and machine learning. While we are yet to hit the peak of applied AI applications in the healthcare segment, we are slowly but surely getting there. AI leaders have already shown the path to service providers by taking a lead on expanding on the scope of machine learning for patients, physicians, life sciences, genomics, and consumer health service providers, and insurance companies.

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