The accelerated developments in machine learning and artificial intelligence in healthcare have set the stage for some interesting transformations. By enabling better care for patients, optimizing processes, and generating new opportunities for medical research and treatment, these technologies are indeed going to change the healthcare industry radically. According to a study conducted by the Berkeley Research Group, it’s estimated that AI will be able to save the US healthcare system approximately $360 billion annually as well as boost diagnostic accuracy by an average of 15 to 20%.
In this post, I will give you insights into how AI and healthcare are working hand in hand, together with real-world examples. We will also examine the main barrier to AI adoption in healthcare – security and compliance.
1. Predictive analytics for enhanced patient care
Let’s start by exploring predictive analytics. Predictive analytics leverages AI to analyze historical and real-time data to…
