Healthcare AI 101: Why the Industry Is Adopting this New Technology

There is a lot of discussion in all sectors about artificial intelligence these days. It is one of those buzz terms that everyone has a different opinion about and varying degrees of familiarity with.

However, that doesn’t stop it from having a reach into everything from the financial industry to military applications and of course, the medical field.

Healthcare AI is already providing astounding results in a number of medical-related treatments and procedures, and it is poised to revolutionize the entire industry. Here are 8 reasons the medical sector is implementing this cutting-edge tech:

  1. It Uses Brain-Computer Interfaces to Address Neurological Challenges

Machine learning technology is developing ways to greatly improve the quality of life for patients suffering from mobility issues due to neurological disorders and disease. 

  1. It Creates a Fee-for-Results Standard

There is a massive inequity between money spent on healthcare and positive results in the U.S. Because of this, many advocates of medical reform champion the idea of a results-based fee system. AI can lay the foundation to make that more realistic.

  1. A More Efficient Administration Process

There are several ways that Healthcare AI will assist medical professionals in their office and administrative tasks, including:

  • Automation of routine processes
  • Intuitive interfaces for records and documents
  • Processing basic administrative activities such as test result notifications and prescription refills
  • Managing doctors’ and nurses’ time by prioritizing tasks
  1. Diagnostics with a Smile

While facial-recognition technology may be something viewed as a convenience when it comes to our phones or devices, the ability to diagnose issues based on facial abnormalities will save lives.

  1. It Offers Less Invasive Biopsies

One of the eventual breakthroughs of Healthcare AI will be virtual biopsies. By utilizing image-based tech, we will gain a better understanding of how individual tumors operate, as well as how to target them more effectively.

  1. Increased Data from Electronic Health Records

Electronic health records are an incredible tool in modern healthcare and have already helped tremendously in countless cases. Unfortunately, there is still a long way to go in streamlining the process of sharing and acquiring EHRs. AI will be invaluable in helping to create an efficient and speedy network of data collection, storage, and distribution.

  1. Better Cancer Treatment through Improved Immunotherapy

Everyone reading this article has lost someone to cancer. With innovative AI programs, this disease will be under more scrutiny than ever before. Algorithms will analyze complex medical data to determine which patients best qualify for immunotherapy.

  1. Improved Monitoring of Patients

Patient data is sourced from multiple machines during many medical visits. However, compiling that data together into one, workable algorithm was never possible until recently. AI will combine all data gathered from every source to diagnose earlier and determine the most effective treatment faster.

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The Future of Wellness is Healthcare AI

These are just the examples we could fit in a post of this size. There are dozens, if not hundreds of other cases where medical AI is developing new and innovative ways to improve patient care on every level from administration to diagnostics to treatment. The only question is “what breakthrough is next?”

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