Deep learning provides the healthcare industry with the ability to analyze patient data at exceptional speeds without compromising on accuracy. Deep learning uses mathematical models that are designed to operate a lot like the human brain. AI in healthcare leverages multiple layers of network and technology which allows for computing capability that’s unprecedented. This gives teams the ability to sift through vast quantities of health data that would previously have been lost, forgotten or missed. These deep learning networks can solve complex problems and tease out strands of insight from reams of data that abound within the healthcare sector.
Mandatory practices such as Electronic Medical Records (EMR) have already primed healthcare organizations for applying Big Data tools to electronic health records. Artificial intelligence and machine learning tools are destined to add further value to this flow. They are expected to enhance the quality of automation and intelligent decision-making in primary/tertiary patient care and public healthcare systems. This could be the biggest impact of AI tools as it can potentially transform health outcomes for billions of people around the world.