Two components are essential to successfully establish, develop and sustain applied AI in radiology: Uncompromised collaboration between radiologists and computer scientists, and access to a constant flow of data that is representative of a highly diverse population. This is the foundation of MEDNAX Radiology AI.

At vRad, AI is helping manage regulatory compliance and adherence to best practices to ensure quality care, which should avoid unnecessary medical expenses and mitigate malpractice risk.

Moving past the initial media hype, practitioners are beginning to demonstrate how AI applications can enhance the ability of radiologists to support better patient outcomes.

As I embark on a new adventure as the CIO of Radiology at MEDNAX and vRad, I cannot help but reflect on the history of imaging informatics – and look ahead to the future innovations that emerging technology will bring.