How to Power Your Hospital with Artificial Intelligence in Medical Imaging

Frost & Sullivan's white paper highlights the process of creating an AI strategy for your imaging department The medical imaging industry is in the midst of large-scale transformation, largely driven by the advancements in technologies such as artificial intelligence (AI) and analytics, digitalization of radiology, as well as the rise of precision medicine and teleradiology. These cutting-edge technologies are aimed at addressing challenges in clinical, operational, and staff and patient experiences. In addition, they will resolve critical business pain points such as reimbursement cuts, sub-optimal use of imaging, radiologist burnout, missed appointments, and shortage of radiology subspecialists. Frost & Sullivan's latest white paper, A practical Guide for the Implementation of Artificial Intelligence in Medical Imaging, highlights the major challenges in imaging and explores how AI can be leveraged to solve these challenges. It also covers the likely pitfalls during the implementation process and some of the key factors to consider for the successful implementation of an AI program.