Why Radnet Is Betting Heavily on AI To Reshape Radiology Workflows

RadNet is investing heavily in DeepHealth to create a unified AI platform that integrates clinical, operational, and administrative tools into one continuous radiology workflow. The strategy is designed to reduce manual work, improve accuracy and the patient experience, and help address rising imaging volumes and workforce shortages. RadNet believes its scale—approximately 435 imaging centers and 12 million annual exams—provides the data and real-world environment needed to develop, test, and deploy AI effectively.

Source: https://radiologybusiness.com/topics/artificial-intelligence/why-radnet-betting-heavily-ai-reshape-radiology-workflows?utm_source=newsletter&utm_medium=rb_video