Artificial Intelligence In Healthcare

 

The artificial intelligence (AI) technologies becoming ever present in modern business and everyday life is also steadily being applied to healthcare. The use of artificial intelligence in healthcare has the potential to assist healthcare providers in many aspects of patient care and administrative processes. Most AI and ealthcare technologies have strong relevance to the healthcare field, but the tactics they support can vary significantly. And while some articles on artificial intelligence in healthcare suggest that the use of artificial intelligence in healthcare can perform just as well or better
than humans at certain procedures, such as diagnosing disease, it will be a significant number of years before AI in healthcare replaces humans for a broad range of medical tasks.But for many, it’s still unclear. What is artificial intelligence in healthcare, and what are the benefits? Let’s take a look at a few of the different types of artificial intelligence and healthcare benefits that can be derived from their use.Artificial intelligence in healthcare refers to the use of complex algorithms designed to perform certain tasks inan automated fashion. When researchers, doctors and scientists inject data into computers, the newly built algorithms can review, interpret and even suggest solutions to complex medical problems.Applications of Artificial Intelligence in healthcare are endless. That much we know.We also know that we’ve only scratched the surface of what AI can do for healthcare. Which is both amazing and frightening at the same time.

• Machine Learning
• Natural Language Processing
• Diagnosis and Treatment Applications
• Administrative Applications

The Future of AI in Healthcare

The greatest challenge to AI in healthcare is not whether the technologies will be capable enough to be useful, but rather ensuring their adoption in daily clinical practice. In time, clinicians may migrate toward tasks that require unique human skills, tasks that require the highest level of cognitive function. Perhaps the only healthcare providers who will lose out on the full potential of AI in healthcare may be those who refuse to work alongside it.AI in healthcare has huge and wide reaching potential with everything from mobile coaching solutions to drug discovery falling under the umbrella of what can be achieved with machine learning.That being said, many healthcare executives are still too shy when it comes to experimenting with AI due to privacy concerns, data integrity concerns or the unfortunate presence of various organizational silos making data sharing next to impossible.