How Healthcare Leaders Can Get Started With Artificial intelligence Emerj

This article was written by Sergii Gorpynich, co-Founder and CTO at Star, co-written by Perry Simpson, Managing Director of Star, and was written, edited and published in alignment with our transparent Emerj sponsored content guidelines. While it's easy to find healthcare AI use-cases online, it isn't clear which applications are viable, and which are hype. Healthcare leadership needs to consider the specific data assets, resources, and needs of their organizations before deciding on an AI initiative. In this article, we go into more detail about how executives need to adapt to the changes that AI might bring in businesses. Without a basic grounding in what AI can do and how it works, it can be impossible for executives to find and assess AI opportunity areas. Healthcare leaders should understand the basics of how technologies behind AI work, key concepts of machine learning and data science in general, the critical role of data, the importance of data infrastructure, and the kinds of problems that AI can and cannot solve.