Monthly Archives

August 2018

AI and Deep Learning

How Are AI and Deep Learning Creating Smarter, More Effective Treatment Methods?

Artificial intelligence (AI) and deep learning are revolutionizing the healthcare industry on a global level. They are practical tools that are helping medical universities, hospitals, and other healthcare organizations to optimize their services, improve the standard of care, and reduce medical errors. In fact, according to research findings, 35% of healthcare organizations will implement AI solutions within the next two years. What’s more, by 2021, Al systems will generate $6.7 billion in global healthcare industry revenue.

Further advancement in care delivery

Electronic health records are just one example of deep learning in healthcare. And the availability of this data is necessary for further advancement in care delivery. Other examples of how AI and deep learning have begun to create smarter, more effective treatment methods include: Read More

How Is Big Data Modifying the Way We Treat Patients Today?

As the need for better treatments and demand for improved patient care increases, the ability to sift through the vast sources of data and quickly and intelligently extrapolate actionable trends becomes meaningful. With such needs comes the rise of new technology, including the use of big data.

BigDataBig data refers to the large volumes of digital data collected from various sources, be it doctor visits, clinical examination results, etc., It shapes the way we manage, analyze, and leverage data in any industry. So, it is no surprise that one of the most promising areas where it is being applied is the healthcare industry.

Why is big data necessary for healthcare?

Big data in healthcare use specific health data of an individual or a population to identify potential disease cures, epidemic preventions, reduction in medical costs, and more. Read More